Question 1

When two variables are not correlated at all,the correlation coefficient would be _______.

Accepted Answer

A) -1 
B) 0 
C) 1 
D) -2 
E) none of the above 
A) -1 
B) 0 
C) 1 
D) -2 
E) none of the above

Question 2

A perfect correlation indicates that two variables are causally related.

Accepted Answer

A) True 
 B)False

Question 3

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 = .891

Question 4

What is the variation not explained by the regression?

Accepted Answer

A) Dependent variation 
B) Error sum of squares 
C) Neither A nor B 
D) Both A and B 
A) Dependent variation 
B) Error sum of squares 
C) Neither A nor B 
D) Both A and B

Question 5

The dependent variable is also called the __________________.

Accepted Answer

A) Measure 
B) Criterion 
C) Principle 
D) Standard 
A) Measure 
B) Criterion 
C) Principle 
D) Standard

Question 6

Bivariate regression can not demonstrate:

Accepted Answer

A) when the two variables are linear. 
B) when the two variables are strongly inversely related. 
C) when the two variables are strongly positively related. 
D) when the two variables are causally related. 
A) when the two variables are linear. 
B) when the two variables are strongly inversely related. 
C) when the two variables are strongly positively related. 
D) when the two variables are causally related.

Question 7

Which of the relationships in the matrix is the strongest?

Accepted Answer

The strongest relationship is between AG

Question 8

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

Accepted Answer

A) F 
B) p 
C) Z 
D) none of the above 
A) F 
B) p 
C) Z 
D) none of the above

Question 9

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

Accepted Answer

A) True 
 B)False

Exam 17: A: Bivariate Correlation and Regression

When two variables are not correlated at all,the correlation coefficient would be _______.

A perfect correlation indicates that two variables are causally related.

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.

What is the variation not explained by the regression?

The dependent variable is also called the __________________.

Bivariate regression can not demonstrate:

Which of the relationships in the matrix is the strongest?

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

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

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

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.