Question 1

The slope of the regression line, y = 21 − 8x, is 21.

Accepted Answer

A) True 
 B)False

Question 2

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 3

In regression, the predictor variable is called the dependent variable.

Accepted Answer

A) True 
 B)False

Question 4

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 5

Abby Kuntz, a market specialist at the market research firm of Saez, Gann, 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 6

A cost accountant is developing a regression model to predict the total cost of producing a batch of car seats as a linear function of batch size (the number of seats produced in one lot or batch).The intercept of this model is the ___.

Accepted Answer

A) batch size 
B) unit variable cost 
C) fixed cost 
D) total cost 
E) total variable cost 
A) batch size 
B) unit variable cost 
C) fixed cost 
D) total cost 
E) total variable cost

Question 7

For the regression line, y = 21 − 8x, 21 is the y intercept of the line.

Accepted Answer

A) True 
 B)False

Question 8

In a regression analysis if SST = 200 and SSR = 200, r2 = ___.

Accepted Answer

A) 0.25 
B) 0.75 
C) 0.00 
D) 1.00 
E) -1.00 
A) 0.25 
B) 0.75 
C) 0.00 
D) 1.00 
E) -1.00

Question 9

A cost accountant is developing a regression model to predict the total cost of producing a batch of car seats as a function of batch size (the number of seats produced in one lot or batch).The explanatory variable is ___.

Accepted Answer

A) batch size 
B) unit variable cost 
C) fixed cost 
D) total cost 
E) total variable cost 
A) batch size 
B) unit variable cost 
C) fixed cost 
D) total cost 
E) total variable cost

Question 10

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

Question 11

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 12

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 13

Louis Tang, a cost accountant at Prime Plastics, Inc.(PPI), is analyzing the manufacturing costs of a moulded 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 14

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 15

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 16

Abby Kuntz, a market specialist at the market research firm of Saez, Gann, 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.     For a household with $50,000 annual income, Abby's model predicts monthly grocery expenditures of ___.

Accepted Answer

A) $150.35 
B) $50.35 
C) $1,959.29 
D) $128.65 
E) $1286.50 
A) $150.35 
B) $50.35 
C) $1,959.29 
D) $128.65 
E) $1286.50

Question 17

The range of admissible values for the coefficient determination is −1 to +1.

Accepted Answer

A) True 
 B)False

Question 18

A manager wants to predict the cost (y)of travel for salespeople based on the number of days (x)spent on each sales trip.The following model has been developed: y = $400 + 120x.If a trip took 4 days, the predicted cost of the trip is ___.

Accepted Answer

A) 480 
B) 880 
C) 524 
D) 2080 
E) 1080 
A) 480 
B) 880 
C) 524 
D) 2080 
E) 1080

Question 19

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

Accepted Answer

A) True 
 B)False

Question 20

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

The slope of the regression line, y = 21 − 8x, is 21.

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

In regression, the predictor variable is called the dependent variable.

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

A cost accountant is developing a regression model to predict the total cost of producing a batch of car seats as a linear function of batch size (the number of seats produced in one lot or batch).The intercept of this model is the ___.

For the regression line, y = 21 − 8x, 21 is the y intercept of the line.

In a regression analysis if SST = 200 and SSR = 200, r² = ___.

A cost accountant is developing a regression model to predict the total cost of producing a batch of car seats as a function of batch size (the number of seats produced in one lot or batch).The explanatory variable is ___.

The following residuals plot indicates ___.

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

The following residuals plot indicates ___.

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

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

The range of admissible values for the coefficient determination is −1 to +1.

A manager wants to predict the cost (y)of travel for salespeople based on the number of days (x)spent on each sales trip.The following model has been developed: y = $400 + 120x.If a trip took 4 days, the predicted cost of the trip is ___.

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

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

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 slope of the regression line, y = 21 − 8x, is 21.

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

In regression, the predictor variable is called the dependent variable.

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

A cost accountant is developing a regression model to predict the total cost of producing a batch of car seats as a linear function of batch size (the number of seats produced in one lot or batch).The intercept of this model is the ___.

For the regression line, y = 21 − 8x, 21 is the y intercept of the line.

In a regression analysis if SST = 200 and SSR = 200, r2 = ___.

A cost accountant is developing a regression model to predict the total cost of producing a batch of car seats as a function of batch size (the number of seats produced in one lot or batch).The explanatory variable is ___.

The following residuals plot indicates ___.

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

The following residuals plot indicates ___.

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

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

The range of admissible values for the coefficient determination is −1 to +1.

A manager wants to predict the cost (y)of travel for salespeople based on the number of days (x)spent on each sales trip.The following model has been developed: y = $400 + 120x.If a trip took 4 days, the predicted cost of the trip is ___.

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

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

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

In a regression analysis if SST = 200 and SSR = 200, r² = ___.