Question 1

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

Question 2

A scatter plot compares actual data to a predicted relationship between 2 variables.

Accepted Answer

A) True 
 B)False  True

Question 3

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

Accepted Answer

A) True 
 B)False  True

Question 4

Some of the results of a regression analysis are as follows:
SSE = 52,500	SST = 485,200
Compute the Coefficient of Determination (R²)and interpret.

Accepted Answer

R² = (SST -- SSE)/ SST
R² = .8

Question 5

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

Accepted Answer

A) Y 
B) X 
C) e 
D) r 
E) p 
A) Y 
B) X 
C) e 
D) r 
E) p

Question 6

A R = -.95 is always weaker than +.95,because positive relationships are more significant than negative relationships.

Accepted Answer

A) True 
 B)False

Question 7

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 these 
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 these

Question 8

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) -2 to +2 
A) 0 to 1 
B) -1 to +1 
C) -1 to 0 
D) -.99 to + .99 
E) -2 to +2

Question 9

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 10

An R² of 0 indicates no relationship between variables.

Accepted Answer

A) True 
 B)False

Question 11

An R² of .05 would indicate:

Accepted Answer

A) a significant relationship between X and Y. 
B) a negative relationship between X and Y. 
C) a very weak relationship between X and Y. 
D) none of these 
A) a significant relationship between X and Y. 
B) a negative relationship between X and Y. 
C) a very weak relationship between X and Y. 
D) none of these

Question 12

Dependent variables are also known as predictor variables.

Accepted Answer

A) True 
 B)False

Question 13

In regression,the higher the _________ value,the more likely the relationship between variables is significant.

Accepted Answer

A) F 
B) p 
C) Z 
D) t 
E) none of these 
A) F 
B) p 
C) Z 
D) t 
E) none of these

Question 14

The degree to which changes in one variable (the dependent variable)are associated with changes in another is which of the following?

Accepted Answer

A) correlation 
B) consideration 
C) regression 
D) association 
E) none of these 
A) correlation 
B) consideration 
C) regression 
D) association 
E) none of these

Question 15

The coefficient of correlation describes the degree of association between X and Y.

Accepted Answer

A) True 
 B)False

Question 16

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 17

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 18

When the value of one variable increases at exactly the same rate as another variable decreases,this is said to be a ___________________relationship.

Accepted Answer

A) strong positive linear 
B) positive linear 
C) perfect negative linear 
D) parabolic 
E) strong curvilinear association 
A) strong positive linear 
B) positive linear 
C) perfect negative linear 
D) parabolic 
E) strong curvilinear association

Question 19

In regression,the unexplained variation is referred to as error sum of squares (SSE).

Accepted Answer

A) True 
 B)False

Question 20

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 these 
A) positive 
B) negative 
C) curvilinear 
D) none of these

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

A scatter plot compares actual data to a predicted relationship between 2 variables.

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

Some of the results of a regression analysis are as follows: SSE = 52,500 SST = 485,200 Compute the Coefficient of Determination (R²)and interpret.

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

A R = -.95 is always weaker than +.95,because positive relationships are more significant than negative relationships.

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?

What are the possible values in correlation analysis?

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

An R² of 0 indicates no relationship between variables.

An R² of .05 would indicate:

Dependent variables are also known as predictor variables.

In regression,the higher the _________ value,the more likely the relationship between variables is significant.

The degree to which changes in one variable (the dependent variable)are associated with changes in another is which of the following?

The coefficient of correlation describes the degree of association between X and Y.

In a regression output in SPSS,R² represents:

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

When the value of one variable increases at exactly the same rate as another variable decreases,this is said to be a ___________________relationship.

In regression,the unexplained variation is referred to as error sum of squares (SSE).

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

The Role of Marketing Research in Management Decision Making

The Marketing Research Industry and Research Ethics

Problem Definition and the Research Process

Secondary Data and Databases

Qualitative Research

Traditional Survey Research

Online Marketing Research-The Growth of Mobile and Social Media Research

Primary Data Collection: Observation

Primary Data Collection: Experimentation and Test Markets

The Concept of Measurement

Using Measurement Scales to Build Marketing Effectiveness

Questionnaire Design

Basic Sampling Issues

Sample Size Determination

Data Processing and Fundamental Data Analysis

Statistical Testing of Differences and Relationships

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Communicating the Research Results

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Exam 17: Bivariate Correlation and Regression

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

A scatter plot compares actual data to a predicted relationship between 2 variables.

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

Some of the results of a regression analysis are as follows: SSE = 52,500 SST = 485,200 Compute the Coefficient of Determination (R²)and interpret.

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

A R = -.95 is always weaker than +.95,because positive relationships are more significant than negative relationships.

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?

What are the possible values in correlation analysis?

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

An R² of 0 indicates no relationship between variables.

An R² of .05 would indicate:

Dependent variables are also known as predictor variables.

In regression,the higher the _________ value,the more likely the relationship between variables is significant.

The degree to which changes in one variable (the dependent variable)are associated with changes in another is which of the following?

The coefficient of correlation describes the degree of association between X and Y.

In a regression output in SPSS,R² represents:

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

When the value of one variable increases at exactly the same rate as another variable decreases,this is said to be a ___________________relationship.

In regression,the unexplained variation is referred to as error sum of squares (SSE).

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

The Role of Marketing Research in Management Decision Making

The Marketing Research Industry and Research Ethics

Problem Definition and the Research Process

Secondary Data and Databases

Qualitative Research

Traditional Survey Research

Online Marketing Research-The Growth of Mobile and Social Media Research

Primary Data Collection: Observation

Primary Data Collection: Experimentation and Test Markets

The Concept of Measurement

Using Measurement Scales to Build Marketing Effectiveness

Questionnaire Design

Basic Sampling Issues

Sample Size Determination

Data Processing and Fundamental Data Analysis

Statistical Testing of Differences and Relationships

Multivariate Data Analysis

Communicating the Research Results

Managing Marketing Research

Filters