Question 1

Dependent variables are also known as predictor variables.

Accepted Answer

A) True 
 B)False  False

Question 2

Ordinal data cannot be analyzed using regression analysis.

Accepted Answer

A) True 
 B)False  True

Question 3

If a marketer wants to correlate an ordinal ranking of TV sets with the nominal scale variable gender,the marketer would have to use_____________.

Accepted Answer

A) ANOVA 
B) Pearson's product-moment correlation 
C) z-test 
D) chi-square test 
E) none of the above 
A) ANOVA 
B) Pearson's product-moment correlation 
C) z-test 
D) chi-square test 
E) none of the above E

Question 4

In the equation for regression analysis,the letter X represents the independent variable.

Accepted Answer

A) True 
 B)False

Question 5

A regression equation that estimates the number of hours of study that impact a test score would most likely produce what type of relationship?

Accepted Answer

A) positive 
B) negative 
C) curvilinear 
D) none of the above 
A) positive 
B) negative 
C) curvilinear 
D) none of the above

Question 6

In a regression output in SPSS,R2 represents:

Accepted Answer

A) the independent variable. 
B) the dependent variable. 
C) the estimated slope of the regression line. 
D) the coefficient of determination. 
A) the independent variable. 
B) the dependent variable. 
C) the estimated slope of the regression line. 
D) the coefficient of determination.

Question 7

In a regression equation,sales would typically be the ______________ variable.

Accepted Answer

A) independent 
B) coefficient 
C) dependent 
D) none of the above 
A) independent 
B) coefficient 
C) dependent 
D) none of the above

Question 8

In correlation analysis,the closer the value of R is to -1 or +1,the stronger the correlation between the two variables in question.

Accepted Answer

A) True 
 B)False

Question 9

In a regression equation,which symbol represents the dependent variable?

Accepted Answer

A) Y 
B) X 
C) e 
D) r 
E) none of the above 
A) Y 
B) X 
C) e 
D) r 
E) none of the above

Question 10

What are the possible values in correlation analysis?

Accepted Answer

A) 0 to 1 
B) -1 to +1 
C) -1 to 0 
D) -.99 to + .99 
E) none of the above 
A) 0 to 1 
B) -1 to +1 
C) -1 to 0 
D) -.99 to + .99 
E) none of the above

Question 11

If you are studying the impact of training on salesperson performance as indicated on an exam taken by salespersons at the end of training,salesperson sales would be the ____________ variable,and the salesperson exam score would be the _____________ variable.

Accepted Answer

A) criterion,predictor 
B) covariate,independent 
C) independent,predictor 
D) dependent,independent 
E) none of the above 
A) criterion,predictor 
B) covariate,independent 
C) independent,predictor 
D) dependent,independent 
E) none of the above

Question 12

The correct formula for the analysis of variance used to test the significance of results is F = MSR / MSE.

Accepted Answer

A) True 
 B)False

Question 13

Which of the following is not included in the equation for the coefficient of determination?

Accepted Answer

A) explained variation 
B) total variation 
C) estimated variation 
D) unexplained variation 
A) explained variation 
B) total variation 
C) estimated variation 
D) unexplained variation

Question 14

A correlation analysis between sales and sales training scores results in R = +.98.Which of the following best interprets the relationship between sales and sales training?

Accepted Answer

A) 98% of the salespeople taking the test have higher sales. 
B) The correlation between sales and sales training is very weak and insignificant. 
C) The correlation between sales and sales training is strong and positive,indicating that higher sales training scores are closely associated with higher sales and vice-versa. 
D) 98% of the variation in sales is explained by variations in sales training scores. 
E) none of the above 
A) 98% of the salespeople taking the test have higher sales. 
B) The correlation between sales and sales training is very weak and insignificant. 
C) The correlation between sales and sales training is strong and positive,indicating that higher sales training scores are closely associated with higher sales and vice-versa. 
D) 98% of the variation in sales is explained by variations in sales training scores. 
E) none of the above

Question 15

An RS1U1P12S1S1P0of .05 would indicate:

Accepted Answer

A) a significant relationship between X and Y. 
B) a negative relationship between X and Y. 
C) a very small relationship between X and Y. 
D) none of the above 
A) a significant relationship between X and Y. 
B) a negative relationship between X and Y. 
C) a very small relationship between X and Y. 
D) none of the above

Question 16

How many pairs of responses were in this correlation analysis? ________

Accepted Answer

The results in the matrix indi

Question 17

Draw a graph depicting a strong but inverse correlation between X(Sales)and
number of times the sales force did not reach its quota.Interpret the relationship.

Accepted Answer

The interpretation of the relationship w

Question 18

The variation explained by the regression equation is called SSR or sum of squares due to the regression,and the variation not explained by the regression is called SSE or the error sum of squares.

Accepted Answer

A) True 
 B)False

Question 19

Which test statistic is used to test the significance of the results of a regression analysis?

Accepted Answer

A) F 
B) t 
C) Z 
D) chi-square 
E) none of the above 
A) F 
B) t 
C) Z 
D) chi-square 
E) none of the above

Question 20

Which of the following techniques requires at that both variables are ratio or interval data?

Accepted Answer

A) bivariate regression 
B) ANOVA 
C) t test 
D) Pearson's product-moment correlation 
E) All are appropriate. 
A) bivariate regression 
B) ANOVA 
C) t test 
D) Pearson's product-moment correlation 
E) All are appropriate.

Exam 17: A: Bivariate Correlation and Regression

Dependent variables are also known as predictor variables.

Ordinal data cannot be analyzed using regression analysis.

If a marketer wants to correlate an ordinal ranking of TV sets with the nominal scale variable gender,the marketer would have to use_____________.

In the equation for regression analysis,the letter X represents the independent variable.

A regression equation that estimates the number of hours of study that impact a test score would most likely produce what type of relationship?

In a regression output in SPSS,R2 represents:

In a regression equation,sales would typically be the ______________ variable.

In correlation analysis,the closer the value of R is to -1 or +1,the stronger the correlation between the two variables in question.

In a regression equation,which symbol represents the dependent variable?

What are the possible values in correlation analysis?

If you are studying the impact of training on salesperson performance as indicated on an exam taken by salespersons at the end of training,salesperson sales would be the ____________ variable,and the salesperson exam score would be the _____________ variable.

The correct formula for the analysis of variance used to test the significance of results is F = MSR / MSE.

Which of the following is not included in the equation for the coefficient of determination?

A correlation analysis between sales and sales training scores results in R = +.98.Which of the following best interprets the relationship between sales and sales training?

An R2of .05 would indicate:

How many pairs of responses were in this correlation analysis? ________

Draw a graph depicting a strong but inverse correlation between X(Sales)and number of times the sales force did not reach its quota.Interpret the relationship.

The variation explained by the regression equation is called SSR or sum of squares due to the regression,and the variation not explained by the regression is called SSE or the error sum of squares.

Which test statistic is used to test the significance of the results of a regression analysis?

Which of the following techniques requires at that both variables are ratio or interval data?

The Role of Marketing Research in Management Decision Making

A: The Role of Marketing Research in Management Decision Making

The Marketing Research Industry and Research Ethics

A: The Marketing Research Industry and Research Ethics

Problem Definition,exploratory Research,and the Research Process

A: Problem Definition and the Research Process

Secondary Data and Databases

A: Secondary Data and Databases

Qualitative Research

A: Qualitative Research

Traditional Survey Research

A: Traditional Survey Research

Online Marketing Research

A: Online Marketing Research

Primary Data Collection: Observation

A: Primary Data Collection: Observation

Primary Data Collection: Experimentation and Test Markets

A: Primary Data Collection: Experimentation and Test Markets

The Concept of Measurement

A: The Concept of Measurement

Using Measurement Scales to Build Marketing Effectiveness

A: Using Measurement Scales to Build Marketing Effectiveness

Questionnaire Design

A: Questionnaire Design

Basic Sampling Issues

A: Basic Sampling Issues

Sample Size Determination

A: Sample Size Determination

Data Processing and Fundamental Data Analysis

A: Data Processing and Fundamental Data Analysis

Statistical Testing of Differences and Relationships

A: Statistical Testing of Differences and Relationships

Bivariate Correlation and Regression

Multivariate Data Analysis

A: Multivariate Data Analysis

Communicating the Research Results

A: Communicating the Research Results

Managing Marketing Research

A: Managing Marketing Research

Filters

In a regression output in SPSS,R²represents:

If you are studying the impact of training on salesperson performance as indicated on an exam taken by salespersons at the end of training,salesperson sales would be the variable,and the salesperson exam score would be the _ variable.

An R²of .05 would indicate: