Question 1

Prediction intervals get narrower as we extrapolate outside the range of the data.

Accepted Answer

A) True 
 B)False

Question 2

One of the major uses of residual analysis is to test some of the assumptions underlying regression.

Accepted Answer

A) True 
 B)False

Question 3

The following data is to be used to construct a regression model:   The value of the slope is ____________.

Accepted Answer

A)  16.49 
B)  1.19 
C)  1.43 
D)  0.75 
E)  1.30 
A)  16.49 
B)  1.19 
C)  1.43 
D)  0.75 
E)  1.30

Question 4

One of the assumptions made in simple regression is that ______________.

Accepted Answer

A)  the error terms are exponentially distributed 
B)  the error terms have unequal variances 
C)  the model is linear 
D)  the error terms are dependent 
E)  the model is nonlinear 
A)  the error terms are exponentially distributed 
B)  the error terms have unequal variances 
C)  the model is linear 
D)  the error terms are dependent 
E)  the model is nonlinear

Question 5

If there is positive correlation between two sets of numbers,then _______.

Accepted Answer

A)  r = 0 
B)  r  0 
D)  SSE=1 
E)  MSE = 1 
A)  r = 0 
B)  r  0 
D)  SSE=1 
E)  MSE = 1

Question 6

A simple regression model developed for ten pairs of data resulted in a sum of squares of error,SSE = 125.The standard error of the estimate is _______.

Accepted Answer

A)  12.5 
B)  3.5 
C)  15.6 
D)  3.95 
E)  25 
A)  12.5 
B)  3.5 
C)  15.6 
D)  3.95 
E)  25

Question 7

Which of the following assertions is true about the regression line?

Accepted Answer

A)  The regression line is also called the least cubes line and is found minimizing the sum of the cubes of the residuals. 
B)  It is found minimizing the sum of the residuals squared, but-even though it would be unnecessarily complicated-it could also be found minimizing the sum of the residuals cubed. 
C)  Depending on the data, some regression lines could have only positive residuals. 
D)  Depending on the data, some regression lines could have all residuals equal to zero. 
E)  Depending on the data, some regression lines could have only negative residuals. 
A)  The regression line is also called the least cubes line and is found minimizing the sum of the cubes of the residuals. 
B)  It is found minimizing the sum of the residuals squared, but-even though it would be unnecessarily complicated-it could also be found minimizing the sum of the residuals cubed. 
C)  Depending on the data, some regression lines could have only positive residuals. 
D)  Depending on the data, some regression lines could have all residuals equal to zero. 
E)  Depending on the data, some regression lines could have only negative residuals.

Question 8

Louis Katz,a cost accountant at Papalote Plastics,Inc.(PPI),is analyzing the manufacturing costs of a molded plastic telephone handset produced by PPI.Louis's independent variable is production lot size (in 1,000's of units),and his dependent variable is the total cost of the lot (in $100's).Regression analysis of the data yielded the following tables.     The correlation coefficient between Louis's variables is ________________.

Accepted Answer

A)  -0.73 
B)  0.73 
C)  0.28 
D)  -0.28 
E)  0.00 
A)  -0.73 
B)  0.73 
C)  0.28 
D)  -0.28 
E)  0.00

Question 9

From the following scatter plot,we can say that between y and x there is _______.

Accepted Answer

A)  perfect positive correlation 
B)  virtually no correlation 
C)  positive correlation 
D)  negative correlation 
E)  perfect negative correlation 
A)  perfect positive correlation 
B)  virtually no correlation 
C)  positive correlation 
D)  negative correlation 
E)  perfect negative correlation

Question 10

Annie Mikhail,market analyst for a national company specializing in historic city tours,is analyzing the relationship between the sales revenue from historic city tours and the size of the city.She gathers data from six cities in which the tours are offered.Annie's dependent variable is annual sales revenues and her independent variable is the city population.Regression analysis of the data yielded the following tables.     The numerical value of the correlation coefficient between the historic city tour sales and the size of city population is __________.

Accepted Answer

A)  0.969785 
B)  0.940483 
C)  0.224675 
D)  -0.14156 
E)  1.000000 
A)  0.969785 
B)  0.940483 
C)  0.224675 
D)  -0.14156 
E)  1.000000

Question 11

A quality manager is developing a regression model to predict the total number of defects as a function of the day of week the item is produced.Production runs are done 10 hours a day,7 days a week. The explanatory variable is ______.

Accepted Answer

A)  day of week 
B)  production run 
C)  percentage of defects 
D)  number of defects 
E)  number of production runs 
A)  day of week 
B)  production run 
C)  percentage of defects 
D)  number of defects 
E)  number of production runs

Question 12

The slope of the regression line,y = 21 − 5x,is 21.

Accepted Answer

A) True 
 B)False

Question 13

The following residuals plot indicates _______________.

Accepted Answer

A)  a nonlinear relation 
B)  a nonconstant error variance 
C)  the simple regression assumptions are met 
D)  the sample is biased 
E)  the sample is random 
A)  a nonlinear relation 
B)  a nonconstant error variance 
C)  the simple regression assumptions are met 
D)  the sample is biased 
E)  the sample is random

Question 14

Data points that lie apart from the rest of the points are called deviants..

Accepted Answer

A) True 
 B)False

Question 15

Louis Katz,a cost accountant at Papalote Plastics,Inc.(PPI),is analyzing the manufacturing costs of a molded plastic telephone handset produced by PPI.Louis's independent variable is production lot size (in 1,000's of units),and his dependent variable is the total cost of the lot (in $100's).Regression analysis of the data yielded the following tables.     
Using $\alpha$ = 0.05,Louis should ________________.

Accepted Answer

A)  increase the sample size 
B)  suspend judgment 
C)  not reject H0: $\beta$1 = 0 
D)  reject H0: $\beta$1 = 0 
E)  do not reject H0: $\beta$0 = 0 
A)  increase the sample size 
B)  suspend judgment 
C)  not reject H0: $\beta$1 = 0 
D)  reject H0: $\beta$1 = 0 
E)  do not reject H0: $\beta$0 = 0

Question 16

The proportion of variability of the dependent variable (y)accounted for or explained by the independent variable (x)is called the coefficient of correlation.

Accepted Answer

A) True 
 B)False

Question 17

According to the following graphic,X and Y have _________.

Accepted Answer

A)  strong negative correlation 
B)  virtually no correlation 
C)  strong positive correlation 
D)  moderate negative correlation 
E)  weak negative correlation 
A)  strong negative correlation 
B)  virtually no correlation 
C)  strong positive correlation 
D)  moderate negative correlation 
E)  weak negative correlation

Question 18

A simple regression model developed for 12 pairs of data resulted in a sum of squares of error,SSE = 246.The standard error of the estimate is _______.

Accepted Answer

A)  24.6 
B)  4.96 
C)  20.5 
D)  4.53 
E)  12.3 
A)  24.6 
B)  4.96 
C)  20.5 
D)  4.53 
E)  12.3

Question 19

A researcher has developed a regression model from fourteen pairs of data points.He wants to test if the slope is significantly different from zero.He uses a two? tailed test and $\alpha$ = 0.01.The critical table t value is _______.

Accepted Answer

A)  2.650 
B)  3.012 
C)  3.055 
D)  2.718 
E)  2.168 
A)  2.650 
B)  3.012 
C)  3.055 
D)  2.718 
E)  2.168

Question 20

The following data is to be used to construct a regression model:   The regression equation is _______________.

Accepted Answer

A)  y = 16.49 + 1.43x 
B)  y = 1.19 + 0.91x 
C)  y = 1.19 + 0.75x 
D)  y = 0.75 + 0.18x 
E)  y = 0.91 + 4.06x 
A)  y = 16.49 + 1.43x 
B)  y = 1.19 + 0.91x 
C)  y = 1.19 + 0.75x 
D)  y = 0.75 + 0.18x 
E)  y = 0.91 + 4.06x

Prediction intervals get narrower as we extrapolate outside the range of the data.

One of the major uses of residual analysis is to test some of the assumptions underlying regression.

The following data is to be used to construct a regression model: The value of the slope is ____________.

One of the assumptions made in simple regression is that ______________.

If there is positive correlation between two sets of numbers,then _______.

A simple regression model developed for ten pairs of data resulted in a sum of squares of error,SSE = 125.The standard error of the estimate is _______.

Which of the following assertions is true about the regression line?

From the following scatter plot,we can say that between y and x there is _______.

A quality manager is developing a regression model to predict the total number of defects as a function of the day of week the item is produced.Production runs are done 10 hours a day,7 days a week. The explanatory variable is ______.

The slope of the regression line,y = 21 − 5x,is 21.

The following residuals plot indicates _______________.

Data points that lie apart from the rest of the points are called deviants..

The proportion of variability of the dependent variable (y)accounted for or explained by the independent variable (x)is called the coefficient of correlation.

According to the following graphic,X and Y have _________.

A simple regression model developed for 12 pairs of data resulted in a sum of squares of error,SSE = 246.The standard error of the estimate is _______.

A researcher has developed a regression model from fourteen pairs of data points.He wants to test if the slope is significantly different from zero.He uses a two? tailed test and $\alpha$ = 0.01.The critical table t value is _______.

The following data is to be used to construct a regression model: The regression equation is _______________.

Introduction to Statistics

Charts and Graphs

Descriptive Statistics

Probability

Discrete Distributions

Continuous Distributions

Sampling and Sampling Distributions

Statistical Inference: Estimation for Single Populations

Statistical Inference: Hypothesis Testing for Single Populations

Statistical Inferences About Two Populations

A Nalysis of Variance and Design of Experiments

Multiple Regression Analysis

Building Multiple Regression Models

Time-Series Forecasting and Index Numbers

Analysis of Categorical Data

Nonparametric Statistics

Statistical Quality Control

Decision Analysis

Filters

Exam 12: Simple Regression Analysis and Correlation

Prediction intervals get narrower as we extrapolate outside the range of the data.

One of the major uses of residual analysis is to test some of the assumptions underlying regression.

The following data is to be used to construct a regression model: The value of the slope is ____________.

One of the assumptions made in simple regression is that ______________.

If there is positive correlation between two sets of numbers,then _______.

A simple regression model developed for ten pairs of data resulted in a sum of squares of error,SSE = 125.The standard error of the estimate is _______.

Which of the following assertions is true about the regression line?

From the following scatter plot,we can say that between y and x there is _______.

A quality manager is developing a regression model to predict the total number of defects as a function of the day of week the item is produced.Production runs are done 10 hours a day,7 days a week. The explanatory variable is ______.

The slope of the regression line,y = 21 − 5x,is 21.

The following residuals plot indicates _______________.

Data points that lie apart from the rest of the points are called deviants..

The proportion of variability of the dependent variable (y)accounted for or explained by the independent variable (x)is called the coefficient of correlation.

According to the following graphic,X and Y have _________.

A simple regression model developed for 12 pairs of data resulted in a sum of squares of error,SSE = 246.The standard error of the estimate is _______.

A researcher has developed a regression model from fourteen pairs of data points.He wants to test if the slope is significantly different from zero.He uses a two? tailed test and α\alphaα = 0.01.The critical table t value is _______.

The following data is to be used to construct a regression model: The regression equation is _______________.

Introduction to Statistics

Charts and Graphs

Descriptive Statistics

Probability

Discrete Distributions

Continuous Distributions

Sampling and Sampling Distributions

Statistical Inference: Estimation for Single Populations

Statistical Inference: Hypothesis Testing for Single Populations

Statistical Inferences About Two Populations

A Nalysis of Variance and Design of Experiments

Multiple Regression Analysis

Building Multiple Regression Models

Time-Series Forecasting and Index Numbers

Analysis of Categorical Data

Nonparametric Statistics

Statistical Quality Control

Decision Analysis

Filters

A researcher has developed a regression model from fourteen pairs of data points.He wants to test if the slope is significantly different from zero.He uses a two? tailed test and $\alpha$ = 0.01.The critical table t value is _______.