Question 1

In the formula for a straight line, the slope is defined as:

Accepted Answer

A)  the change in y for any 1-unit change in x 
B)  where the line cuts the y axis when x = 0 
C)  the variable used to predict the dependent variable 
D)  the dependent variable 
E)  the predicted variable 
A)  the change in y for any 1-unit change in x 
B)  where the line cuts the y axis when x = 0 
C)  the variable used to predict the dependent variable 
D)  the dependent variable 
E)  the predicted variable

Question 2

All predictions should be judged for their "goodness."

Accepted Answer

A) True 
 B)False

Question 3

The multiple R, also called the coefficient of determination, in multiple regression ranges from 0 to +1.00 and represents the amount of the dependent variable "explained" by the combined independent variables.

Accepted Answer

A) True 
 B)False

Question 4

You might be using extrapolation as an approach for stating that:

Accepted Answer

A)  since your professor's exam was easy today, the last one must have been easy too 
B)  you will have to study more for your exams 
C)  your professor's exam will have to be more difficult than the last two easy ones 
D)  since your professor's last two exams were easy, the next should be easy as well 
E)  your professor will not give another exam this semester 
A)  since your professor's exam was easy today, the last one must have been easy too 
B)  you will have to study more for your exams 
C)  your professor's exam will have to be more difficult than the last two easy ones 
D)  since your professor's last two exams were easy, the next should be easy as well 
E)  your professor will not give another exam this semester

Question 5

Once we establish, through multiple regression analysis, that certain independent variables are statistically significant in predicting a dependent variable, we may assume this relationship to be one of cause and effect.

Accepted Answer

A) True 
 B)False

Question 6

In bivariate regression analysis, the independent variable is one that is:

Accepted Answer

A)  used to predict the dependent variable, and it is the x in the regression formula 
B)  used to predict the dependent variable, and it is the y in the regression formula 
C)  predicted, and it is the x in the regression formula 
D)  predicted, and it is the y in the regression formula 
E)  used to predict the dependent variable, and it is the b in the regression formula 
A)  used to predict the dependent variable, and it is the x in the regression formula 
B)  used to predict the dependent variable, and it is the y in the regression formula 
C)  predicted, and it is the x in the regression formula 
D)  predicted, and it is the y in the regression formula 
E)  used to predict the dependent variable, and it is the b in the regression formula

Question 7

Which of the following are warnings that the textbook authors give regarding regression analysis?

Accepted Answer

A)  It is complicated and requires large computer memory. 
B)  It does not give you cause-and-effect statements, and it is expensive to run. 
C)  It does not give you cause-and-effect statements, and you should not apply regression to predict data outside the boundaries of the data used to develop the regression model. 
D)  It is expensive, and you should not apply regression to predict data outside the boundaries of the data used to develop the regression model. 
E)  No warnings are given. 
A)  It is complicated and requires large computer memory. 
B)  It does not give you cause-and-effect statements, and it is expensive to run. 
C)  It does not give you cause-and-effect statements, and you should not apply regression to predict data outside the boundaries of the data used to develop the regression model. 
D)  It is expensive, and you should not apply regression to predict data outside the boundaries of the data used to develop the regression model. 
E)  No warnings are given.

Question 8

When using regression analysis, confidence intervals may be used to:

Accepted Answer

A)  determine the x and y variables 
B)  allow the researcher to use the knowledge of the normal curve to specify the range in which the dependent variable may fall 
C)  allow the researcher to use the knowledge of the normal curve to specify the range in which the independent variable may fall 
D)  determine the slope 
E)  satisfy assumptions 
A)  determine the x and y variables 
B)  allow the researcher to use the knowledge of the normal curve to specify the range in which the dependent variable may fall 
C)  allow the researcher to use the knowledge of the normal curve to specify the range in which the independent variable may fall 
D)  determine the slope 
E)  satisfy assumptions

Question 9

In regression the variable used to predict the dependent variable is known as x, the independent variable.

Accepted Answer

A) True 
 B)False

Question 10

A prediction is a statement of what is believed will happen in the future made on the basis of past experience or prior observation.

Accepted Answer

A) True 
 B)False

Question 11

In the formula for a straight line, the intercept is known as:

Accepted Answer

A)  the dependent variable 
B)  the variable used to predict the dependent variable 
C)  the change in y for any unit change in x 
D)  the point where the line cuts the y axis when x = 0 
E)  b 
A)  the dependent variable 
B)  the variable used to predict the dependent variable 
C)  the change in y for any unit change in x 
D)  the point where the line cuts the y axis when x = 0 
E)  b

Question 12

What are two ways of making a prediction?

Accepted Answer

A)  guessing and using statistics 
B)  extrapolation and guessing 
C)  building a predictive model and guessing 
D)  extrapolation and building a predictive model 
E)  guessing and hypothesizing 
A)  guessing and using statistics 
B)  extrapolation and guessing 
C)  building a predictive model and guessing 
D)  extrapolation and building a predictive model 
E)  guessing and hypothesizing

Question 13

The SPSS command for running multiple regression is: ANALYZE; REGRESSION; LINEAR.

Accepted Answer

A) True 
 B)False

Question 14

Which of the following stipulates that independent multiple regression variables must be statistically independent and uncorrelated with one another?

Accepted Answer

A)  independence assumption 
B)  multicollinearity 
C)  additivity requirement 
D)  regression plane 
E)  uncorrelation 
A)  independence assumption 
B)  multicollinearity 
C)  additivity requirement 
D)  regression plane 
E)  uncorrelation

Question 15

The VIF is useful for identifying multicollinearity.

Accepted Answer

A) True 
 B)False

Question 16

If Maxwell House Coffee was considering a line of gourmet iced coffee, it would want to know how coffee drinkers feel about gourmet iced coffee; that is, their attitudes toward buying, preparing, and drinking it would be the dependent variables. Maxwell House might consider developing:

Accepted Answer

A)  a general conceptual model 
B)  a general conceptual model that identifies the independent and dependent variables 
C)  a specific conceptual model that specifies the variables that will produce residuals analysis 
D)  a specific conceptual model that will require additional modification to be used in residuals analysis 
E)  a conceptual model that identifies the residuals that are associated with the dependent, or slope, variable 
A)  a general conceptual model 
B)  a general conceptual model that identifies the independent and dependent variables 
C)  a specific conceptual model that specifies the variables that will produce residuals analysis 
D)  a specific conceptual model that will require additional modification to be used in residuals analysis 
E)  a conceptual model that identifies the residuals that are associated with the dependent, or slope, variable

Question 17

In multiple regression, the presence of correlations among the independent variables is termed:

Accepted Answer

A)  independence assumption 
B)  multicollinearity 
C)  additivity 
D)  regression plane 
E)  multicorrelation 
A)  independence assumption 
B)  multicollinearity 
C)  additivity 
D)  regression plane 
E)  multicorrelation

Question 18

If the tests of the significance of the slope and the intercept are significant, this means that the straight-line relationship depicted by the slope and the intercept actually exists in the population and, therefore, the regression equation may be used as a prediction device.

Accepted Answer

A) True 
 B)False

Question 19

In regression the variable being predicted, y, is known as the dependent variable.

Accepted Answer

A) True 
 B)False

Question 20

Multiple regression may be used as a "screening device" in the sense that it may be used to reduce large numbers of potential independent variables in order to spot those that are most salient for the dependent variable.

Accepted Answer

A) True 
 B)False

In the formula for a straight line, the slope is defined as:

All predictions should be judged for their "goodness."

The multiple R, also called the coefficient of determination, in multiple regression ranges from 0 to +1.00 and represents the amount of the dependent variable "explained" by the combined independent variables.

You might be using extrapolation as an approach for stating that:

Once we establish, through multiple regression analysis, that certain independent variables are statistically significant in predicting a dependent variable, we may assume this relationship to be one of cause and effect.

In bivariate regression analysis, the independent variable is one that is:

Which of the following are warnings that the textbook authors give regarding regression analysis?

When using regression analysis, confidence intervals may be used to:

In regression the variable used to predict the dependent variable is known as x, the independent variable.

A prediction is a statement of what is believed will happen in the future made on the basis of past experience or prior observation.

In the formula for a straight line, the intercept is known as:

What are two ways of making a prediction?

The SPSS command for running multiple regression is: ANALYZE; REGRESSION; LINEAR.

Which of the following stipulates that independent multiple regression variables must be statistically independent and uncorrelated with one another?

The VIF is useful for identifying multicollinearity.

If Maxwell House Coffee was considering a line of gourmet iced coffee, it would want to know how coffee drinkers feel about gourmet iced coffee; that is, their attitudes toward buying, preparing, and drinking it would be the dependent variables. Maxwell House might consider developing:

In multiple regression, the presence of correlations among the independent variables is termed:

If the tests of the significance of the slope and the intercept are significant, this means that the straight-line relationship depicted by the slope and the intercept actually exists in the population and, therefore, the regression equation may be used as a prediction device.

In regression the variable being predicted, y, is known as the dependent variable.

Multiple regression may be used as a "screening device" in the sense that it may be used to reduce large numbers of potential independent variables in order to spot those that are most salient for the dependent variable.

Introduction to Marketing Research

The Marketing Research Process

The Marketing Research Industry

Defining the Problem and Determining Research Objectives

Research Design

Using Secondary Data and Online Information Databases

Standardized Information Sources

Observation, Focus Groups, and Other Qualitative Methods

Survey Data-Collection Methods

Measurement in Marketing Research

Designing the Questionnaire

Determining How to Select the Sample

Determining the Size of a Sample

Data Collection in the Field, Nonresponse Error, and Questionnaire Screening

Basic Data Analysis: Descriptive Statistics

Generalizing a Sample's Findings to its Population and Testing Hypotheses About Percents and Means

Testing for Differences Between Two Groups or Among More Than

Determining and Interpreting Associations Among Variables

The Marketing Research Report: Preparation and Presentation

Filters

Exam 19: Regression Analysis in Marketing Research

In the formula for a straight line, the slope is defined as:

All predictions should be judged for their "goodness."

The multiple R, also called the coefficient of determination, in multiple regression ranges from 0 to +1.00 and represents the amount of the dependent variable "explained" by the combined independent variables.

You might be using extrapolation as an approach for stating that:

Once we establish, through multiple regression analysis, that certain independent variables are statistically significant in predicting a dependent variable, we may assume this relationship to be one of cause and effect.

In bivariate regression analysis, the independent variable is one that is:

Which of the following are warnings that the textbook authors give regarding regression analysis?

When using regression analysis, confidence intervals may be used to:

In regression the variable used to predict the dependent variable is known as x, the independent variable.

A prediction is a statement of what is believed will happen in the future made on the basis of past experience or prior observation.

In the formula for a straight line, the intercept is known as:

What are two ways of making a prediction?

The SPSS command for running multiple regression is: ANALYZE; REGRESSION; LINEAR.

Which of the following stipulates that independent multiple regression variables must be statistically independent and uncorrelated with one another?

The VIF is useful for identifying multicollinearity.

If Maxwell House Coffee was considering a line of gourmet iced coffee, it would want to know how coffee drinkers feel about gourmet iced coffee; that is, their attitudes toward buying, preparing, and drinking it would be the dependent variables. Maxwell House might consider developing:

In multiple regression, the presence of correlations among the independent variables is termed:

If the tests of the significance of the slope and the intercept are significant, this means that the straight-line relationship depicted by the slope and the intercept actually exists in the population and, therefore, the regression equation may be used as a prediction device.

In regression the variable being predicted, y, is known as the dependent variable.

Multiple regression may be used as a "screening device" in the sense that it may be used to reduce large numbers of potential independent variables in order to spot those that are most salient for the dependent variable.

Introduction to Marketing Research

The Marketing Research Process

The Marketing Research Industry

Defining the Problem and Determining Research Objectives

Research Design

Using Secondary Data and Online Information Databases

Standardized Information Sources

Observation, Focus Groups, and Other Qualitative Methods

Survey Data-Collection Methods

Measurement in Marketing Research

Designing the Questionnaire

Determining How to Select the Sample

Determining the Size of a Sample

Data Collection in the Field, Nonresponse Error, and Questionnaire Screening

Basic Data Analysis: Descriptive Statistics

Generalizing a Sample's Findings to its Population and Testing Hypotheses About Percents and Means

Testing for Differences Between Two Groups or Among More Than

Determining and Interpreting Associations Among Variables

The Marketing Research Report: Preparation and Presentation

Filters