Deck 13: Simple Linear Regression
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Deck 13: Simple Linear Regression
1
SCENARIO 13-1
A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:
Yi = 0 + 1 Xi + i
The results of the simple linear regression are provided below.
? = -2,700 +20 X ,SYX = 65,two-tail p value = 0.034 (for testing 1)
11eb129a_22de_eb6b_935a_932306595b21_TB6723_00
-Referring to Scenario 13-1,interpret the estimate of 0 ,the Y-intercept of the line.
A)All companies will be charged at least $2,700 by the bank.
B)There is no practical interpretation since a sales revenue of $0 is a nonsensical value.
C)About 95% of the observed service charges fall within $2,700 of the least squares line.
D)For every $1 million increase in sales revenue,we expect a service charge to decrease $2,700.
A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:
Yi = 0 + 1 Xi + i
The results of the simple linear regression are provided below.

? = -2,700 +20 X ,SYX = 65,two-tail p value = 0.034 (for testing 1)
11eb129a_22de_eb6b_935a_932306595b21_TB6723_00
-Referring to Scenario 13-1,interpret the estimate of 0 ,the Y-intercept of the line.
A)All companies will be charged at least $2,700 by the bank.
B)There is no practical interpretation since a sales revenue of $0 is a nonsensical value.
C)About 95% of the observed service charges fall within $2,700 of the least squares line.
D)For every $1 million increase in sales revenue,we expect a service charge to decrease $2,700.
There is no practical interpretation since a sales revenue of $0 is a nonsensical value.
2
SCENARIO 13-1
A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:
Yi = 0 + 1 Xi + i
The results of the simple linear regression are provided below.
? = -2,700 +20 X ,SYX = 65,two-tail p value = 0.034 (for testing 1)
11eb129a_22de_eb6b_935a_932306595b21_TB6723_00
-Referring to Scenario 13-1,a 95% confidence interval for 1 is (15,30).Interpret the interval.
A)You are 95% confident that the mean service charge will fall between $15 and $30 per month.
B)You are 95% confident that the sales revenue (X)will increase between $15 and $30 million for every $1 increase in service charge (Y).
C)You are 95% confident that mean service charge (Y)will increase between $15 and $30 for every $1 million increase in sales revenue (X).
D)At the ? = 0.05 level,there is no evidence of a linear relationship between service charge (Y)and sales revenue (X).
A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:
Yi = 0 + 1 Xi + i
The results of the simple linear regression are provided below.

? = -2,700 +20 X ,SYX = 65,two-tail p value = 0.034 (for testing 1)
11eb129a_22de_eb6b_935a_932306595b21_TB6723_00
-Referring to Scenario 13-1,a 95% confidence interval for 1 is (15,30).Interpret the interval.
A)You are 95% confident that the mean service charge will fall between $15 and $30 per month.
B)You are 95% confident that the sales revenue (X)will increase between $15 and $30 million for every $1 increase in service charge (Y).
C)You are 95% confident that mean service charge (Y)will increase between $15 and $30 for every $1 million increase in sales revenue (X).
D)At the ? = 0.05 level,there is no evidence of a linear relationship between service charge (Y)and sales revenue (X).
You are 95% confident that mean service charge (Y)will increase between $15 and $30 for every $1 million increase in sales revenue (X).
3
The slope (b1)represents
A)predicted value of Y when X = 0.
B)the estimated average change in Y per unit change in X.
C)the predicted value of Y.
D)variation around the line of regression.
A)predicted value of Y when X = 0.
B)the estimated average change in Y per unit change in X.
C)the predicted value of Y.
D)variation around the line of regression.
the estimated average change in Y per unit change in X.
4
SCENARIO 13-2
A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this,the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable,the company will conduct a simple linear regression on the data below:

Referring to Scenario 13-2,what is the estimated mean change in the sales of the candy bar if price goes up by $1.00?
A)161.386
B)0.784
C)- 3.810
D)- 48.193
A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this,the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable,the company will conduct a simple linear regression on the data below:

Referring to Scenario 13-2,what is the estimated mean change in the sales of the candy bar if price goes up by $1.00?
A)161.386
B)0.784
C)- 3.810
D)- 48.193
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5
SCENARIO 13-2
A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this,the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable,the company will conduct a simple linear regression on the data below:

-Referring to Scenario 13-2,to test that the regression coefficient, 1,is not equal to 0,what would be the critical values? Use ? = 0.05.
A) 2.5706
B) 2.7764
C) 3.1634
D) 3.4954
A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this,the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable,the company will conduct a simple linear regression on the data below:

-Referring to Scenario 13-2,to test that the regression coefficient, 1,is not equal to 0,what would be the critical values? Use ? = 0.05.
A) 2.5706
B) 2.7764
C) 3.1634
D) 3.4954
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6
SCENARIO 13-2
A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this,the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable,the company will conduct a simple linear regression on the data below:

Referring to Scenario 13-2,what is the estimated slope for the candy bar price and sales data?
A)161.386
B)0.784
C)- 3.810
D)- 48.193
A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this,the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable,the company will conduct a simple linear regression on the data below:

Referring to Scenario 13-2,what is the estimated slope for the candy bar price and sales data?
A)161.386
B)0.784
C)- 3.810
D)- 48.193
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7
SCENARIO 13-2
A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this,the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable,the company will conduct a simple linear regression on the data below:

-Referring to Scenario 13-2,what is ( X - )2 1for these data?
A)0
B)1.66
C)2.54
D)25.66
A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this,the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable,the company will conduct a simple linear regression on the data below:

-Referring to Scenario 13-2,what is ( X - )2 1for these data?
A)0
B)1.66
C)2.54
D)25.66
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8
The Y-intercept (b0)represents the
A)estimated average Y when X = 0.
B)change in estimated average Y per unit change in X.
C)predicted value of Y.
D)variation around the sample regression line.
A)estimated average Y when X = 0.
B)change in estimated average Y per unit change in X.
C)predicted value of Y.
D)variation around the sample regression line.
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9
SCENARIO 13-2
A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this,the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable,the company will conduct a simple linear regression on the data below:

Referring to Scenario 13-2,what is the coefficient of correlation for these data?
A)- 0.8854
B)- 0.7839
C)0.7839
D)0.8854
A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this,the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable,the company will conduct a simple linear regression on the data below:

Referring to Scenario 13-2,what is the coefficient of correlation for these data?
A)- 0.8854
B)- 0.7839
C)0.7839
D)0.8854
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10
SCENARIO 13-1
A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:
Yi = 0 + 1 Xi + i
The results of the simple linear regression are provided below.
? = -2,700 +20 X ,SYX = 65,two-tail p value = 0.034 (for testing 1)
11eb129a_22de_eb6b_935a_932306595b21_TB6723_00
-Referring to Scenario 13-1,interpret the p-value for testing whether 1 exceeds 0.
A)There is sufficient evidence (at the ? = 0.05)to conclude that sales revenue (X)is a useful linear predictor of service charge (Y).
B)There is insufficient evidence (at the ? = 0.10)to conclude that sales revenue (X)is a useful linear predictor of service charge (Y).
C)Sales revenue (X)is a poor predictor of service charge (Y).
D)For every $1 million increase in sales revenue,you expect a service charge to increase $0.034.
A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:
Yi = 0 + 1 Xi + i
The results of the simple linear regression are provided below.

? = -2,700 +20 X ,SYX = 65,two-tail p value = 0.034 (for testing 1)
11eb129a_22de_eb6b_935a_932306595b21_TB6723_00
-Referring to Scenario 13-1,interpret the p-value for testing whether 1 exceeds 0.
A)There is sufficient evidence (at the ? = 0.05)to conclude that sales revenue (X)is a useful linear predictor of service charge (Y).
B)There is insufficient evidence (at the ? = 0.10)to conclude that sales revenue (X)is a useful linear predictor of service charge (Y).
C)Sales revenue (X)is a poor predictor of service charge (Y).
D)For every $1 million increase in sales revenue,you expect a service charge to increase $0.034.
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11
The Y-intercept (b0)represents the
A)predicted value of Y when X = 0.
B)change in estimated Y per unit change in X.
C)predicted value of Y.
D)variation around the sample regression line.
A)predicted value of Y when X = 0.
B)change in estimated Y per unit change in X.
C)predicted value of Y.
D)variation around the sample regression line.
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12
SCENARIO 13-2
A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this,the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable,the company will conduct a simple linear regression on the data below:

-Referring to Scenario 13-2,to test whether a change in price will have any impact on sales,what would be the critical values? Use ? = 0.05.
A) 2.5706
B) 2.7765
C) 3.1634
D) 3.4954
A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this,the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable,the company will conduct a simple linear regression on the data below:

-Referring to Scenario 13-2,to test whether a change in price will have any impact on sales,what would be the critical values? Use ? = 0.05.
A) 2.5706
B) 2.7765
C) 3.1634
D) 3.4954
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13
SCENARIO 13-2
A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this,the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable,the company will conduct a simple linear regression on the data below:

Referring to Scenario 13-2,if the price of the candy bar is set at $2,the predicted sales will be
A)30
B)65
C)90
D)100
A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this,the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable,the company will conduct a simple linear regression on the data below:

Referring to Scenario 13-2,if the price of the candy bar is set at $2,the predicted sales will be
A)30
B)65
C)90
D)100
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14
SCENARIO 13-2
A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this,the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable,the company will conduct a simple linear regression on the data below:

Referring to Scenario 13-2,what is the percentage of the total variation in candy bar sales explained by the regression model?
A)100%
B)88.54%
C)78.39%
D)48.19%
A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this,the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable,the company will conduct a simple linear regression on the data below:

Referring to Scenario 13-2,what is the percentage of the total variation in candy bar sales explained by the regression model?
A)100%
B)88.54%
C)78.39%
D)48.19%
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15
SCENARIO 13-2
A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this,the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable,the company will conduct a simple linear regression on the data below:

Referring to Scenario 13-2,what percentage of the total variation in candy bar sales is explained by prices?
A)100%
B)88.54%
C)78.39%
D)48.19%
A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this,the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable,the company will conduct a simple linear regression on the data below:

Referring to Scenario 13-2,what percentage of the total variation in candy bar sales is explained by prices?
A)100%
B)88.54%
C)78.39%
D)48.19%
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16
SCENARIO 13-2
A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this,the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable,the company will conduct a simple linear regression on the data below:

Referring to Scenario 13-2,what is the standard error of the estimate,SYX,for the data?
A)0.784
B)0.885
C)12.650
D)16.299
A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this,the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable,the company will conduct a simple linear regression on the data below:

Referring to Scenario 13-2,what is the standard error of the estimate,SYX,for the data?
A)0.784
B)0.885
C)12.650
D)16.299
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17
SCENARIO 13-2
A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this,the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable,the company will conduct a simple linear regression on the data below:

Referring to Scenario 13-2,if the price of the candy bar is set at $2,the estimated mean sales will be
A)30
B)65
C)90
D)100
A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this,the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable,the company will conduct a simple linear regression on the data below:

Referring to Scenario 13-2,if the price of the candy bar is set at $2,the estimated mean sales will be
A)30
B)65
C)90
D)100
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18
SCENARIO 13-1
A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:
Yi = 0 + 1 Xi + i
The results of the simple linear regression are provided below.
? = -2,700 +20 X ,SYX = 65,two-tail p value = 0.034 (for testing 1)
11eb129a_22de_eb6b_935a_932306595b21_TB6723_00
-Referring to Scenario 13-1,interpret the estimate of ?,the standard deviation of the random error term (standard error of the estimate)in the model.
A)About 95% of the observed service charges fall within $65 of the least squares line.
B)About 95% of the observed service charges equal their corresponding predicted values.
C)About 95% of the observed service charges fall within $130 of the least squares line.
D)For every $1 million increase in sales revenue,we expect a service charge to increase $65.
A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:
Yi = 0 + 1 Xi + i
The results of the simple linear regression are provided below.

? = -2,700 +20 X ,SYX = 65,two-tail p value = 0.034 (for testing 1)
11eb129a_22de_eb6b_935a_932306595b21_TB6723_00
-Referring to Scenario 13-1,interpret the estimate of ?,the standard deviation of the random error term (standard error of the estimate)in the model.
A)About 95% of the observed service charges fall within $65 of the least squares line.
B)About 95% of the observed service charges equal their corresponding predicted values.
C)About 95% of the observed service charges fall within $130 of the least squares line.
D)For every $1 million increase in sales revenue,we expect a service charge to increase $65.
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19
SCENARIO 13-2
A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this,the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable,the company will conduct a simple linear regression on the data below:

Referring to Scenario 13-2,what is the standard error of the regression slope estimate, Sb1 ?
A)0.784
B)0.885
C)12.650
D)16.299
A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this,the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable,the company will conduct a simple linear regression on the data below:

Referring to Scenario 13-2,what is the standard error of the regression slope estimate, Sb1 ?
A)0.784
B)0.885
C)12.650
D)16.299
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20
The least squares method minimizes which of the following?
A)SSR
B)SSE
C)SST
D)All of the above
A)SSR
B)SSE
C)SST
D)All of the above
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21
SCENARIO 13-3
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,the prediction for the number of job offers for a person with 2 coop jobs is .
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,the prediction for the number of job offers for a person with 2 coop jobs is .
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22
The Chancellor of a university has commissioned a team to collect data on students' GPAs and the amount of time they spend bar hopping every week (measured in minutes).He wants to know if imposing much tougher regulations on all campus bars to make it more difficult for students to spend time in any campus bar will have a significant impact on general students' GPAs.His team should use a t test on the slope of the population regression.
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23
SCENARIO 13-3
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,suppose the director of cooperative education wants to construct a 95% prediction interval for the number of job offers received by a student who has had exactly two cooperative education jobs.The t critical value she would use is .
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,suppose the director of cooperative education wants to construct a 95% prediction interval for the number of job offers received by a student who has had exactly two cooperative education jobs.The t critical value she would use is .
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24
SCENARIO 13-3
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,the coefficient of correlation is .
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,the coefficient of correlation is .
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25
SCENARIO 13-3
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,suppose the director of cooperative education wants to construct both a 95% confidence interval estimate and a 95% prediction interval for X = 2.The confidence interval estimate would be the wider of the two intervals.
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,suppose the director of cooperative education wants to construct both a 95% confidence interval estimate and a 95% prediction interval for X = 2.The confidence interval estimate would be the wider of the two intervals.
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26
SCENARIO 13-3
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,the standard error of estimate is .
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,the standard error of estimate is .
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27
SCENARIO 13-3
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,the least squares estimate of the slope is .
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,the least squares estimate of the slope is .
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28
SCENARIO 13-3
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,the regression sum of squares (SSR)is .
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,the regression sum of squares (SSR)is .
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29
The residual represents the discrepancy between the observed dependent variable and its _____ value.
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30
SCENARIO 13-3
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,suppose the director of cooperative education wants to construct a 95% prediction interval for the number of job offers received by a student who has had exactly two cooperative education jobs.The prediction interval is from _____ to _____ .
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,suppose the director of cooperative education wants to construct a 95% prediction interval for the number of job offers received by a student who has had exactly two cooperative education jobs.The prediction interval is from _____ to _____ .
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31
SCENARIO 13-3
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,the director of cooperative education wanted to test the hypothesis that the population slope was equal to 0.The value of the test statistic is .
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,the director of cooperative education wanted to test the hypothesis that the population slope was equal to 0.The value of the test statistic is .
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32
SCENARIO 13-3
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,the error or residual sum of squares (SSE)is .
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,the error or residual sum of squares (SSE)is .
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33
SCENARIO 13-3
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,suppose the director of cooperative education wants to construct a 95% confidence-interval estimate for the mean number of job offers received by students who have had exactly one cooperative education job.The t critical value she would use is .
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,suppose the director of cooperative education wants to construct a 95% confidence-interval estimate for the mean number of job offers received by students who have had exactly one cooperative education job.The t critical value she would use is .
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34
SCENARIO 13-3
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,the total sum of squares (SST)is .
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,the total sum of squares (SST)is .
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35
SCENARIO 13-3
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,the coefficient of determination is .
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,the coefficient of determination is .
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36
SCENARIO 13-3
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,suppose the director of cooperative education wants to construct a 95% confidence interval estimate for the mean number of job offers received by students who have had exactly one cooperative education job.The confidence interval is from _____ to _____ .
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,suppose the director of cooperative education wants to construct a 95% confidence interval estimate for the mean number of job offers received by students who have had exactly one cooperative education job.The confidence interval is from _____ to _____ .
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37
SCENARIO 13-3
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,the least squares estimate of the Y-intercept is .
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,the least squares estimate of the Y-intercept is .
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38
SCENARIO 13-3
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,set up a scatter plot.
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,set up a scatter plot.
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39
SCENARIO 13-3
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,suppose the director of cooperative education wants to construct a 95% prediction interval estimate for the number of job offers received by students who have had exactly one cooperative education job.The prediction interval is from _____ to _____ .
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,suppose the director of cooperative education wants to construct a 95% prediction interval estimate for the number of job offers received by students who have had exactly one cooperative education job.The prediction interval is from _____ to _____ .
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40
SCENARIO 13-3
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,suppose the director of cooperative education wants to construct two 95% confidence interval estimates.One is for the mean number of job offers received by students who have had exactly one cooperative education job and one for students who have had two.The confidence interval for students who have had one cooperative education job would be the wider of the two intervals.
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,suppose the director of cooperative education wants to construct two 95% confidence interval estimates.One is for the mean number of job offers received by students who have had exactly one cooperative education job and one for students who have had two.The confidence interval for students who have had one cooperative education job would be the wider of the two intervals.
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41
SCENARIO 13-4
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,_____ % of the total variation in sales generated can be explained by the number of new clients brought in.
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,_____ % of the total variation in sales generated can be explained by the number of new clients brought in.
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42
SCENARIO 13-4
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,the least squares estimate of the Y-intercept is .
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,the least squares estimate of the Y-intercept is .
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43
SCENARIO 13-4
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,the total sum of squares (SST)is .
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,the total sum of squares (SST)is .
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44
SCENARIO 13-4
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,the standard error of the estimated slope coefficient is .
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,the standard error of the estimated slope coefficient is .
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45
SCENARIO 13-4
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,the coefficient of correlation is .
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,the coefficient of correlation is .
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46
SCENARIO 13-4
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,suppose the managers of the brokerage firm want to construct a 99% confidence interval estimate for the mean sales made by brokers who have brought into the firm 24 new clients.The confidence interval is from _____ to _____ .
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,suppose the managers of the brokerage firm want to construct a 99% confidence interval estimate for the mean sales made by brokers who have brought into the firm 24 new clients.The confidence interval is from _____ to _____ .
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47
SCENARIO 13-4
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,the standard error of estimate is .
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,the standard error of estimate is .
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48
SCENARIO 13-4
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,the coefficient of determination is .
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,the coefficient of determination is .
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49
SCENARIO 13-3
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,the director of cooperative education wanted to test the hypothesis that the population slope was equal to 3.0.For a test with a level of significance of 0.05,the null hypothesis should be rejected if the value of the test statistic is .
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,the director of cooperative education wanted to test the hypothesis that the population slope was equal to 3.0.For a test with a level of significance of 0.05,the null hypothesis should be rejected if the value of the test statistic is .
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50
SCENARIO 13-4
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,the prediction for the amount of sales (in $1,000s)for a person who brings 25 new clients into the firm is .
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,the prediction for the amount of sales (in $1,000s)for a person who brings 25 new clients into the firm is .
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51
SCENARIO 13-4
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,the error or residual sum of squares (SSE)is .
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,the error or residual sum of squares (SSE)is .
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52
SCENARIO 13-4
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,set up a scatter plot.
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,set up a scatter plot.
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53
SCENARIO 13-4
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,suppose the managers of the brokerage firm want to construct n a 99% prediction interval for the sales made by a broker who has brought into the firm 18 new clients.The t critical value they would use is .
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,suppose the managers of the brokerage firm want to construct n a 99% prediction interval for the sales made by a broker who has brought into the firm 18 new clients.The t critical value they would use is .
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54
SCENARIO 13-4
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,suppose the managers of the brokerage firm want to construct a 99% confidence interval estimate for the mean sales made by brokers who have brought into the firm 24 new clients.The t critical value they would use is .
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,suppose the managers of the brokerage firm want to construct a 99% confidence interval estimate for the mean sales made by brokers who have brought into the firm 24 new clients.The t critical value they would use is .
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55
SCENARIO 13-3
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,the director of cooperative education wanted to test the hypothesis that the population slope was equal to 0.The p-value of the test is between _____ and _____.
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,the director of cooperative education wanted to test the hypothesis that the population slope was equal to 0.The p-value of the test is between _____ and _____.
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56
SCENARIO 13-4
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,the least squares estimate of the slope is .
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,the least squares estimate of the slope is .
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57
SCENARIO 13-3
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,the director of cooperative education wanted to test the hypothesis that the population slope was equal to 0.For a test with a level of significance of 0.05,the null hypothesis should be rejected if the value of the test statistic is .
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,the director of cooperative education wanted to test the hypothesis that the population slope was equal to 0.For a test with a level of significance of 0.05,the null hypothesis should be rejected if the value of the test statistic is .
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58
SCENARIO 13-3
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,the director of cooperative education wanted to test the hypothesis that the population slope was equal to 3.0.The p-value of the test is between _____ and _____.
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,the director of cooperative education wanted to test the hypothesis that the population slope was equal to 3.0.The p-value of the test is between _____ and _____.
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59
SCENARIO 13-4
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,the regression sum of squares (SSR)is .
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,the regression sum of squares (SSR)is .
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60
SCENARIO 13-3
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,the director of cooperative education wanted to test the hypothesis that the population slope was equal to 3.0.The value of the test statistic is .
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4,she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.

Referring to Scenario 13-3,the director of cooperative education wanted to test the hypothesis that the population slope was equal to 3.0.The value of the test statistic is .
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61
SCENARIO 13-4
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,suppose the managers of the brokerage firm want to construct both a 99% confidence interval estimate and a 99% prediction interval for X = 24.The confidence interval estimate would be the (wider or narrower)of the two intervals.
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,suppose the managers of the brokerage firm want to construct both a 99% confidence interval estimate and a 99% prediction interval for X = 24.The confidence interval estimate would be the (wider or narrower)of the two intervals.
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62
SCENARIO 13-4
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,the managers of the brokerage firm wanted to test the hypothesis that the population slope was equal to 0.The value of the test statistic is .
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,the managers of the brokerage firm wanted to test the hypothesis that the population slope was equal to 0.The value of the test statistic is .
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63
SCENARIO 13-4
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,the managers of the brokerage firm wanted to test the hypothesis that the number of new clients brought in had a positive impact on the amount of sales generated.For a test with a level of significance of 0.01,the null hypothesis should be rejected if the value of the test statistic is .
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,the managers of the brokerage firm wanted to test the hypothesis that the number of new clients brought in had a positive impact on the amount of sales generated.For a test with a level of significance of 0.01,the null hypothesis should be rejected if the value of the test statistic is .
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64
SCENARIO 13-4
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,suppose the managers of the brokerage firm want to construct a 99% prediction interval for the sales made by a broker who has brought into the firm 18 new clients.The prediction interval is from _____ to _____ .
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,suppose the managers of the brokerage firm want to construct a 99% prediction interval for the sales made by a broker who has brought into the firm 18 new clients.The prediction interval is from _____ to _____ .
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65
SCENARIO 13-4
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,the managers of the brokerage firm wanted to test the hypothesis that the number of new clients brought in did not affect the amount of sales generated.The value of the test statistic is .
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,the managers of the brokerage firm wanted to test the hypothesis that the number of new clients brought in did not affect the amount of sales generated.The value of the test statistic is .
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66
SCENARIO 13-4
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,the managers of the brokerage firm wanted to test the hypothesis that the number of new clients brought in had a positive impact on the amount of sales generated.The p-value of the test is .
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,the managers of the brokerage firm wanted to test the hypothesis that the number of new clients brought in had a positive impact on the amount of sales generated.The p-value of the test is .
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67
SCENARIO 13-4
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,the managers of the brokerage firm wanted to test the hypothesis that the population slope was equal to 0.The p-value of the test is .
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,the managers of the brokerage firm wanted to test the hypothesis that the population slope was equal to 0.The p-value of the test is .
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68
SCENARIO 13-4
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,the managers of the brokerage firm wanted to test the hypothesis that the number of new clients brought in had a positive impact on the amount of sales generated.At a level of significance of 0.01,the decision that should be made implies that the number of new
clients brought in _____ (had or did not have)a positive impact on the amount of sales generated.
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,the managers of the brokerage firm wanted to test the hypothesis that the number of new clients brought in had a positive impact on the amount of sales generated.At a level of significance of 0.01,the decision that should be made implies that the number of new
clients brought in _____ (had or did not have)a positive impact on the amount of sales generated.
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69
SCENARIO 13-5
The managing partner of an advertising agency believes that his company's sales are related to the industry sales.He uses Microsoft Excel to analyze the last 4 years of quarterly data with the following results:

Referring to Scenario 13-5,the prediction for a quarter in which X = 120 is Y = .
The managing partner of an advertising agency believes that his company's sales are related to the industry sales.He uses Microsoft Excel to analyze the last 4 years of quarterly data with the following results:

Referring to Scenario 13-5,the prediction for a quarter in which X = 120 is Y = .
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70
SCENARIO 13-5
The managing partner of an advertising agency believes that his company's sales are related to the industry sales.He uses Microsoft Excel to analyze the last 4 years of quarterly data with the following results:

Referring to Scenario 13-5,the standard error of the estimated slope coefficient is .
The managing partner of an advertising agency believes that his company's sales are related to the industry sales.He uses Microsoft Excel to analyze the last 4 years of quarterly data with the following results:

Referring to Scenario 13-5,the standard error of the estimated slope coefficient is .
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71
SCENARIO 13-4
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,the managers of the brokerage firm wanted to test the hypothesis that the number of new clients brought in had a positive impact on the amount of sales generated.At a level of significance of 0.01,the null hypothesis should be _____ (rejected or not rejected).
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,the managers of the brokerage firm wanted to test the hypothesis that the number of new clients brought in had a positive impact on the amount of sales generated.At a level of significance of 0.01,the null hypothesis should be _____ (rejected or not rejected).
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72
SCENARIO 13-4
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,the managers of the brokerage firm wanted to test the hypothesis that the population slope was equal to 0.At a level of significance of 0.01,the null hypothesis should be _____ (rejected or not rejected).
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,the managers of the brokerage firm wanted to test the hypothesis that the population slope was equal to 0.At a level of significance of 0.01,the null hypothesis should be _____ (rejected or not rejected).
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73
SCENARIO 13-4
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,the managers of the brokerage firm wanted to test the hypothesis that the population slope was equal to 0.For a test with a level of significance of 0.01,the null hypothesis should be rejected if the value of the test statistic is .
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,the managers of the brokerage firm wanted to test the hypothesis that the population slope was equal to 0.For a test with a level of significance of 0.01,the null hypothesis should be rejected if the value of the test statistic is .
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74
SCENARIO 13-5
The managing partner of an advertising agency believes that his company's sales are related to the industry sales.He uses Microsoft Excel to analyze the last 4 years of quarterly data with the following results:

Referring to Scenario 13-5,the standard error of the estimate is .
The managing partner of an advertising agency believes that his company's sales are related to the industry sales.He uses Microsoft Excel to analyze the last 4 years of quarterly data with the following results:

Referring to Scenario 13-5,the standard error of the estimate is .
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75
SCENARIO 13-4
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,the managers of the brokerage firm wanted to test the hypothesis that the number of new clients brought in had a positive impact on the amount of sales generated.The value of the test statistic is .
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,the managers of the brokerage firm wanted to test the hypothesis that the number of new clients brought in had a positive impact on the amount of sales generated.The value of the test statistic is .
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76
SCENARIO 13-4
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

-Referring to Scenario 13-4,the managers of the brokerage firm wanted to test the hypothesis tha the population slope was equal to 0.The denominator of the test statistic is sb1 .The value of b1 in this sample is______ .
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

-Referring to Scenario 13-4,the managers of the brokerage firm wanted to test the hypothesis tha the population slope was equal to 0.The denominator of the test statistic is sb1 .The value of b1 in this sample is______ .
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77
SCENARIO 13-4
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,the managers of the brokerage firm wanted to test the hypothesis that the population slope was equal to 0.At a level of significance of 0.01,the decision that should be
made implies that _____ (there is a or there is no)linear dependent relationship between the independent and dependent variables.
The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.

Referring to Scenario 13-4,the managers of the brokerage firm wanted to test the hypothesis that the population slope was equal to 0.At a level of significance of 0.01,the decision that should be
made implies that _____ (there is a or there is no)linear dependent relationship between the independent and dependent variables.
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78
SCENARIO 13-5
The managing partner of an advertising agency believes that his company's sales are related to the industry sales.He uses Microsoft Excel to analyze the last 4 years of quarterly data with the following results:

Referring to Scenario 13-5,the estimates of the Y-intercept and slope are _____ and _____ ,respectively.
The managing partner of an advertising agency believes that his company's sales are related to the industry sales.He uses Microsoft Excel to analyze the last 4 years of quarterly data with the following results:

Referring to Scenario 13-5,the estimates of the Y-intercept and slope are _____ and _____ ,respectively.
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79
SCENARIO 13-5
The managing partner of an advertising agency believes that his company's sales are related to the industry sales.He uses Microsoft Excel to analyze the last 4 years of quarterly data with the following results:

Referring to Scenario 13-5,the coefficient of determination is .
The managing partner of an advertising agency believes that his company's sales are related to the industry sales.He uses Microsoft Excel to analyze the last 4 years of quarterly data with the following results:

Referring to Scenario 13-5,the coefficient of determination is .
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80
SCENARIO 13-5
The managing partner of an advertising agency believes that his company's sales are related to the industry sales.He uses Microsoft Excel to analyze the last 4 years of quarterly data with the following results:

Referring to Scenario 13-5,the value of the quantity that the least squares regression line minimizes is .

The managing partner of an advertising agency believes that his company's sales are related to the industry sales.He uses Microsoft Excel to analyze the last 4 years of quarterly data with the following results:

Referring to Scenario 13-5,the value of the quantity that the least squares regression line minimizes is .

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