Question 1

The Pearson product-moment correlation coefficient ranges between:

Accepted Answer

A) zero and +1.0 
B) -1.0 and zero 
C) -1.0 and +1.0 
D) -2.0 and +2.0 
A) zero and +1.0 
B) -1.0 and zero 
C) -1.0 and +1.0 
D) -2.0 and +2.0

Question 2

A covariance matrix contains the covariance for every pair of variables among a set of metric variables.

Accepted Answer

A) True 
 B)False

Question 3

The ordinary least-squares method of regression analysis is based on the logic of how much better a regression line can predict values of Y compared to simply using the mean as a prediction.

Accepted Answer

A) True 
 B)False

Question 4

A Spearman correlation is more appropriate for interval and ratio data than is the Pearson product-moment correlation.

Accepted Answer

A) True 
 B)False

Question 5

If the coefficient of determination between X and Y is 0.85,approximately what percentage of the variance in Y can be explained by X?

Accepted Answer

A) 52% 
B) 72% 
C) 85% 
D) 92% 
A) 52% 
B) 72% 
C) 85% 
D) 92%

Question 6

A correlation coefficient indicates both the ____________________ of the relationship between two variables by its absolute value and the ____________________ of this relationship by its sign.

Accepted Answer

size,direction
stren

Question 7

The least-squares regression line minimizes the sum of the squared deviations of the actual values from the predicted values in the regression line.

Accepted Answer

A) True 
 B)False

Question 8

In a correlation matrix,the main diagonal contains correlations of zero.

Accepted Answer

A) True 
 B)False

Question 9

The standard format for reporting the correlations between pairs of several variables is called the ____________________.

Accepted Answer

The answer of The standard format for reporting the correlations...

Question 10

Which approach is most appropriate if the purpose of the regression analysis is forecasting?

Accepted Answer

A) standardized regression coefficient (β) 
B) Y-intercept α 
C) coefficient of determination (R²) 
D) raw parameter estimates 
A) standardized regression coefficient (β) 
B) Y-intercept α 
C) coefficient of determination (R²) 
D) raw parameter estimates

Question 11

Discuss the pros and cons of raw regression estimates and standardized regression estimates and explain when each is appropriate.

Accepted Answer

Regression parameter estimates can be pr

Question 12

The Pearson product-moment correlation requires at least ____________________-level data.

Accepted Answer

The answer of The Pearson product-moment correlation requires at least...

Question 13

The statistical significance of a correlation can be tested using the t-test.

Accepted Answer

A) True 
 B)False

Question 14

Which correlation coefficient indicates a perfect positive relationship?

Accepted Answer

A) -1.0 
B) -0.5 
C) +0.5 
D) +1.0 
A) -1.0 
B) -0.5 
C) +0.5 
D) +1.0

Question 15

Discuss the common procedures for testing association for data that are ordinal and that are interval/ratio.

Accepted Answer

Several different correlation statistics

Question 16

If the regression equation is: Y = 24.35 - 14.2X,then 24.35 is the ____,while -14.2 is the ____.

Accepted Answer

A) slope;y-intercept 
B) independent variable;slope 
C) dependent variable;y-intercept 
D) y-intercept;slope 
A) slope;y-intercept 
B) independent variable;slope 
C) dependent variable;y-intercept 
D) y-intercept;slope

Question 17

If there is no relationship between two variables,the correlation coefficient between them would be:

Accepted Answer

A) -1.0 
B) 0.0 
C) +0.50 
D) +1.0 
A) -1.0 
B) 0.0 
C) +0.50 
D) +1.0

Question 18

The Pearson product-moment correlation requires that the data be measured on at least a ____ scale.

Accepted Answer

A) nominal 
B) interval 
C) ordinal 
D) non-numeric 
A) nominal 
B) interval 
C) ordinal 
D) non-numeric

Question 19

The statistical measure of the association between two variables that is a standardized representation of covariance is known as the ____________________ coefficient.

Accepted Answer

The answer of The statistical measure of the association between...

Question 20

As multicollinearity increases,the adjusted R² becomes ____________________ than the unadjusted R².

Accepted Answer

The answer of As multicollinearity increases,the adjusted R² becomes ____________________...

Exam 18: Advanced Topics in Linear Analytics

The Pearson product-moment correlation coefficient ranges between:

A covariance matrix contains the covariance for every pair of variables among a set of metric variables.

The ordinary least-squares method of regression analysis is based on the logic of how much better a regression line can predict values of Y compared to simply using the mean as a prediction.

A Spearman correlation is more appropriate for interval and ratio data than is the Pearson product-moment correlation.

If the coefficient of determination between X and Y is 0.85,approximately what percentage of the variance in Y can be explained by X?

A correlation coefficient indicates both the ____________________ of the relationship between two variables by its absolute value and the ____________________ of this relationship by its sign.

The least-squares regression line minimizes the sum of the squared deviations of the actual values from the predicted values in the regression line.

In a correlation matrix,the main diagonal contains correlations of zero.

The standard format for reporting the correlations between pairs of several variables is called the ____________________.

Which approach is most appropriate if the purpose of the regression analysis is forecasting?

Discuss the pros and cons of raw regression estimates and standardized regression estimates and explain when each is appropriate.

The Pearson product-moment correlation requires at least ____________________-level data.

The statistical significance of a correlation can be tested using the t-test.

Which correlation coefficient indicates a perfect positive relationship?

Discuss the common procedures for testing association for data that are ordinal and that are interval/ratio.

If the regression equation is: Y = 24.35 - 14.2X,then 24.35 is the ____,while -14.2 is the ____.

If there is no relationship between two variables,the correlation coefficient between them would be:

The Pearson product-moment correlation requires that the data be measured on at least a ____ scale.

The statistical measure of the association between two variables that is a standardized representation of covariance is known as the ____________________ coefficient.

As multicollinearity increases,the adjusted R² becomes ____________________ than the unadjusted R².

The Role of Marketing Research

Information Systems and Knowledge Management

The Marketing Research Process

The Human Side of Marketing Research: Organizational and Ethical Issues

Qualitative Research Tools

Secondary Data Research in a Digital Age

Survey Research

Observation

Conducting Marketing Experiments

Measurement and Attitude Scaling

Questionnaire Design

Sampling Designs and Sampling Procedures

Big Data Basics: Describing Samples and Populations

Basic Data Analysis

Testing for Differences Between Groups and for Predictive Relationships

Communicating Research Results

Beyond the Basics in Basic Data Analysis

Testing Hypotheses With Glm Procedures

Introducing Multivariate Data Analysis

Multivariate Data Analysis: Analytics With Interdependence Techniques

Primer on Structural Equations Modeling

Filters

A correlation coefficient indicates both the of the relationship between two variables by its absolute value and the of this relationship by its sign.

If the regression equation is: Y = 24.35 - 14.2X,then 24.35 is the ,while -14.2 is the .