Question 1

Based on 25 time-ordered observations from a simple regression model,we have determined the Durbin-Watson statistic,d = 1.39.At α = .05,test to determine if there is any evidence of positive autocorrelation.State your conclusions.

Accepted Answer

The answer of Based on 25 time-ordered observations from a...

Question 2

An experiment was performed on a certain metal to determine if the strength is a function of heating time.Results based on 10 metal sheets are given below.Use the simple linear regression model.  Calculate the 95 percent confidence interval for the slope.

Accepted Answer

The answer of An experiment was performed on a certain...

Question 3

An experiment was performed on a certain metal to determine if the strength is a function of heating time.Results based on 10 metal sheets are given below.  Using the simple linear regression model,find the estimated y-intercept.

Accepted Answer

The answer of An experiment was performed on a certain...

Question 4

The error term is the difference between an individual value of the dependent variable and the corresponding mean value of the dependent variable.

Accepted Answer

A) True 
 B)False

Question 5

Regression Analysis  A local grocery store wants to predict its daily sales in dollars.The manager believes that the amount of newspaper advertising significantly affects sales.He randomly selects 7 days of data consisting of daily grocery store sales (in thousands of dollars)and advertising expenditures (in thousands of dollars).The Excel/MegaStat output given above summarizes the results of the regression model.What is the estimated simple linear regression equation?

Accepted Answer

The answer of Regression Analysis  A local grocery store...

Question 6

The least squares regression line minimizes the sum of the

Accepted Answer

A)  differences between actual and predicted Y values. 
B)  absolute deviations between actual and predicted Y values. 
C)  absolute deviations between actual and predicted X values. 
D)  squared differences between actual and predicted Y values. 
E)  squared differences between actual and predicted X values.

Question 7

Consider the following partial computer output from a simple linear regression analysis.  What is the estimated slope?

Accepted Answer

The answer of Consider the following partial computer output from...

Question 8

An experiment was performed on a certain metal to determine if the strength is a function of heating time.Results based on 10 metal sheets are given below.Use the simple linear regression model.  Determine the standard error.

Accepted Answer

The answer of An experiment was performed on a certain...

Question 9

The correlation coefficient is the ratio of explained variation to total variation.

Accepted Answer

A) True 
 B)False

Question 10

Consider the following partial computer output from a simple linear regression analysis. Calculate the t statistic used to test H₀: β₁ = 0 versus H_a: β₁ ≠ 0 at α = .001.

Accepted Answer

The answer of Consider the following partial computer output from...

Question 11

When there is positive autocorrelation,over time,negative error terms are followed by positive error terms and positive error terms are followed by negative error terms.

Accepted Answer

A) True 
 B)False

Question 12

An experiment was performed on a certain metal to determine if the strength is a function of heating time.The sample size consists of 10 metal sheets.The simple linear regression equation is 
= 1 + 1X.The time is in minutes and the strength is measured in pounds per square inch.One of the 10 metal sheets was heated for 4 minutes and the resulting strength was 6 lb per square inch.Calculate the value of the residual for this observation.

Accepted Answer

The answer of An experiment was performed on a certain...

Question 13

The following results were obtained from a simple regression analysis.Ŷ = 37.2895 − 1.2024X r² = .6744 s_b = .2934 For each unit change in X (independent variable),what is the estimated change in Y (dependent variable)?

Accepted Answer

The answer of The following results were obtained from a...

Question 14

Complete the following partial ANOVA table from a simple linear regression analysis with a sample size of 16 observations.Find the F statistic to test the significance of the model.

Accepted Answer

The answer of Complete the following partial ANOVA table from...

Question 15

Consider the following partial computer output from a simple linear regression analysis with a sample size of 16 observations.Find the t test to test the significance of the model.

Accepted Answer

The answer of Consider the following partial computer output from...

Question 16

In a simple linear regression analysis,the correlation coefficient (a)and the slope (b)___________ have the same sign.

Accepted Answer

A)  always 
B)  sometimes 
C)  never

Question 17

The _____________ measures the strength of the linear relationship between the dependent variable and the independent variable.

Accepted Answer

A)  correlation coefficient 
B)  distance value 
C)  Y-intercept 
D)  residual

Question 18

The experimental region is the range of the previously observed values of the dependent variable.

Accepted Answer

A) True 
 B)False

Question 19

The dependent variable is the variable that is being described,predicted,or controlled.

Accepted Answer

A) True 
 B)False

Question 20

In a simple linear regression model,the intercept term is the mean value of y when x equals _____.

Accepted Answer

A)  1 
B)  0 
C)  −1 
D)  y

Exam 13: Chi-Square Tests

Based on 25 time-ordered observations from a simple regression model,we have determined the Durbin-Watson statistic,d = 1.39.At α = .05,test to determine if there is any evidence of positive autocorrelation.State your conclusions.

An experiment was performed on a certain metal to determine if the strength is a function of heating time.Results based on 10 metal sheets are given below.Use the simple linear regression model. Calculate the 95 percent confidence interval for the slope.

An experiment was performed on a certain metal to determine if the strength is a function of heating time.Results based on 10 metal sheets are given below. Using the simple linear regression model,find the estimated y-intercept.

The error term is the difference between an individual value of the dependent variable and the corresponding mean value of the dependent variable.

The least squares regression line minimizes the sum of the

Consider the following partial computer output from a simple linear regression analysis. What is the estimated slope?

An experiment was performed on a certain metal to determine if the strength is a function of heating time.Results based on 10 metal sheets are given below.Use the simple linear regression model. Determine the standard error.

The correlation coefficient is the ratio of explained variation to total variation.

Consider the following partial computer output from a simple linear regression analysis. Calculate the t statistic used to test H₀: β₁ = 0 versus H_a: β₁ ≠ 0 at α = .001.

When there is positive autocorrelation,over time,negative error terms are followed by positive error terms and positive error terms are followed by negative error terms.

The following results were obtained from a simple regression analysis.Ŷ = 37.2895 − 1.2024X r² = .6744 s_b = .2934 For each unit change in X (independent variable),what is the estimated change in Y (dependent variable)?

Complete the following partial ANOVA table from a simple linear regression analysis with a sample size of 16 observations.Find the F statistic to test the significance of the model.

Consider the following partial computer output from a simple linear regression analysis with a sample size of 16 observations.Find the t test to test the significance of the model.

In a simple linear regression analysis,the correlation coefficient (a) and the slope (b) ___________ have the same sign.

The _____________ measures the strength of the linear relationship between the dependent variable and the independent variable.

The experimental region is the range of the previously observed values of the dependent variable.

The dependent variable is the variable that is being described,predicted,or controlled.

In a simple linear regression model,the intercept term is the mean value of y when x equals _____.

Exam 13: Chi-Square Tests

Based on 25 time-ordered observations from a simple regression model,we have determined the Durbin-Watson statistic,d = 1.39.At α = .05,test to determine if there is any evidence of positive autocorrelation.State your conclusions.

An experiment was performed on a certain metal to determine if the strength is a function of heating time.Results based on 10 metal sheets are given below.Use the simple linear regression model. Calculate the 95 percent confidence interval for the slope.

An experiment was performed on a certain metal to determine if the strength is a function of heating time.Results based on 10 metal sheets are given below. Using the simple linear regression model,find the estimated y-intercept.

The error term is the difference between an individual value of the dependent variable and the corresponding mean value of the dependent variable.

The least squares regression line minimizes the sum of the

Consider the following partial computer output from a simple linear regression analysis. What is the estimated slope?

An experiment was performed on a certain metal to determine if the strength is a function of heating time.Results based on 10 metal sheets are given below.Use the simple linear regression model. Determine the standard error.

The correlation coefficient is the ratio of explained variation to total variation.

Consider the following partial computer output from a simple linear regression analysis. Calculate the t statistic used to test H0: β1 = 0 versus Ha: β1 ≠ 0 at α = .001.

When there is positive autocorrelation,over time,negative error terms are followed by positive error terms and positive error terms are followed by negative error terms.

The following results were obtained from a simple regression analysis.Ŷ = 37.2895 − 1.2024X r2 = .6744 sb = .2934 For each unit change in X (independent variable),what is the estimated change in Y (dependent variable)?

Complete the following partial ANOVA table from a simple linear regression analysis with a sample size of 16 observations.Find the F statistic to test the significance of the model.

Consider the following partial computer output from a simple linear regression analysis with a sample size of 16 observations.Find the t test to test the significance of the model.

In a simple linear regression analysis,the correlation coefficient (a) and the slope (b) ___________ have the same sign.

The _____________ measures the strength of the linear relationship between the dependent variable and the independent variable.

The experimental region is the range of the previously observed values of the dependent variable.

The dependent variable is the variable that is being described,predicted,or controlled.

In a simple linear regression model,the intercept term is the mean value of y when x equals _____.

Consider the following partial computer output from a simple linear regression analysis. Calculate the t statistic used to test H₀: β₁ = 0 versus H_a: β₁ ≠ 0 at α = .001.

The following results were obtained from a simple regression analysis.Ŷ = 37.2895 − 1.2024X r² = .6744 s_b = .2934 For each unit change in X (independent variable),what is the estimated change in Y (dependent variable)?