Question 1

The following data is to be used to construct a regression model:   The value of the intercept 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 B

Question 2

A manager wishes to predict the annual cost (y)of an automobile based on the number of miles (x)driven.The following model was developed: y = 2,000 + 0.42x.If a car is driven 20,000 miles,the predicted cost is ____________.

Accepted Answer

A) 10,400 
B) 20,000 
C) 2,840 
D) 6,200 
E) 6,750 
A) 10,400 
B) 20,000 
C) 2,840 
D) 6,200 
E) 6,750 A

Question 3

The assumption of constant error variance in regression analysis is called _______.

Accepted Answer

A) heteroscedasticity 
B) homoscedasticity 
C) residuals 
D) linearity 
E) nonnormality 
A) heteroscedasticity 
B) homoscedasticity 
C) residuals 
D) linearity 
E) nonnormality B

Question 4

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 dependent 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 5

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.     Louis's sample size (n)is ________________.

Accepted Answer

A) 13 
B) 14 
C) 12 
D) 24 
E) 1 
A) 13 
B) 14 
C) 12 
D) 24 
E) 1

Question 6

A researcher has developed a regression model from fifteen pairs of data points.He wants to test if the slope is significantly different from zero.He uses a two?tailed test and $\alpha$ = 0.10.The critical table t value is _______.

Accepted Answer

A) 1.771 
B) 1.350 
C) 1.761 
D) 2.145 
E) 2.068 
A) 1.771 
B) 1.350 
C) 1.761 
D) 2.145 
E) 2.068

Question 7

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 8

To determine whether the overall regression model is significant,the F-test is used.

Accepted Answer

A) True 
 B)False

Question 9

Abby Kratz,a market specialist at the market research firm of Saez,Sikes,and Spitz,is analyzing household budget data collected by her firm.Abby's dependent variable is monthly household expenditures on groceries (in $'s),and her independent variable is annual household income (in $1,000's).Regression analysis of the data yielded the following tables.     Abby's sample size (n)is __________.

Accepted Answer

A) 8 
B) 10 
C) 11 
D) 20 
E) 12 
A) 8 
B) 10 
C) 11 
D) 20 
E) 12

Question 10

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 11

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.     For a city with a population of 500,000,Annie's model predicts annual sales of ________________.

Accepted Answer

A) $70,780 
B) $5,259 
C) $170,780 
D) $52,597 
E) $152,597 
A) $70,780 
B) $5,259 
C) $170,780 
D) $52,597 
E) $152,597

Question 12

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

Accepted Answer

A) the error terms are normally distributed 
B) the error terms have unequal variances 
C) the model is nonlinear 
D) the error terms are dependent 
E) the error terms are all equal 
A) the error terms are normally distributed 
B) the error terms have unequal variances 
C) the model is nonlinear 
D) the error terms are dependent 
E) the error terms are all equal

Question 13

If x and y in a regression model are totally unrelated,_______.

Accepted Answer

A) the correlation coefficient would be -1 
B) the coefficient of determination would be 0 
C) the coefficient of determination would be 1 
D) the SSE would be 0 
E) the MSE would be 0s 
A) the correlation coefficient would be -1 
B) the coefficient of determination would be 0 
C) the coefficient of determination would be 1 
D) the SSE would be 0 
E) the MSE would be 0s

Question 14

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.     
Using $\alpha$ = 0.05,Annie should ________________.

Accepted Answer

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

Question 15

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 16

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

Accepted Answer

A) True 
 B)False

Question 17

A t-test is used to determine whether the coefficients of the regression model are significantly different from zero.

Accepted Answer

A) True 
 B)False

Question 18

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 19

In simple regression analysis the error terms are assumed to be independent and normally distributed with zero mean and constant variance.

Accepted Answer

A) True 
 B)False

Question 20

The strength of a linear relationship in simple linear regression change if the units of the data are converted,say from feet to inches.

Accepted Answer

A) True 
 B)False

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

A manager wishes to predict the annual cost (y)of an automobile based on the number of miles (x)driven.The following model was developed: y = 2,000 + 0.42x.If a car is driven 20,000 miles,the predicted cost is ____________.

The assumption of constant error variance in regression analysis is called _______.

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 dependent variable is ______.

A researcher has developed a regression model from fifteen pairs of data points.He wants to test if the slope is significantly different from zero.He uses a two?tailed test and $\alpha$ = 0.10.The critical table t value is _______.

The following residuals plot indicates _______________.

To determine whether the overall regression model is significant,the F-test is used.

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

If x and y in a regression model are totally unrelated,_______.

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

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

A t-test is used to determine whether the coefficients of the regression model are significantly different from zero.

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 _______.

In simple regression analysis the error terms are assumed to be independent and normally distributed with zero mean and constant variance.

The strength of a linear relationship in simple linear regression change if the units of the data are converted,say from feet to inches.

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

Analysis 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

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

A manager wishes to predict the annual cost (y)of an automobile based on the number of miles (x)driven.The following model was developed: y = 2,000 + 0.42x.If a car is driven 20,000 miles,the predicted cost is ____________.

The assumption of constant error variance in regression analysis is called _______.

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 dependent variable is ______.

A researcher has developed a regression model from fifteen 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 = 0.10.The critical table t value is _______.

The following residuals plot indicates _______________.

To determine whether the overall regression model is significant,the F-test is used.

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

If x and y in a regression model are totally unrelated,_______.

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

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

A t-test is used to determine whether the coefficients of the regression model are significantly different from zero.

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 _______.

In simple regression analysis the error terms are assumed to be independent and normally distributed with zero mean and constant variance.

The strength of a linear relationship in simple linear regression change if the units of the data are converted,say from feet to inches.

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

Analysis 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 fifteen pairs of data points.He wants to test if the slope is significantly different from zero.He uses a two?tailed test and $\alpha$ = 0.10.The critical table t value is _______.