Question 1

The standard form for reporting observed correlations among multiple variables is the ____.

Accepted Answer

A) correlation matrix 
B) contingency table 
C) Pearson grid 
D) inverse table 
A) correlation matrix 
B) contingency table 
C) Pearson grid 
D) inverse table

Question 2

One way to determine the relationship between X and Y is to simply visually draw the best-fit straight line through the points in the figure.

Accepted Answer

A) True 
 B)False

Question 3

Covariance is the extent to which a change in one variable corresponds systematically to a change in another.

Accepted Answer

A) True 
 B)False

Question 4

Which correlation coefficient indicates a moderate 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 5

A correlation coefficient indicates the magnitude of the linear relationships but not the direction of that relationship.

Accepted Answer

A) True 
 B)False

Question 6

Compare and contrast correlation,covariance,and causation.

Accepted Answer

Concomitant variation is one condition n

Question 7

The statistical significance of a regression model is determined using which test?

Accepted Answer

A) t-test 
B) ꭓ² 
C) F-test 
D) Z-test 
A) t-test 
B) ꭓ² 
C) F-test 
D) Z-test

Question 8

If the correlation between two variables is -.55,the coefficient of determination is approximately ____________________.

Accepted Answer

The answer of If the correlation between two variables is...

Question 9

If the coefficient of determination between X and Y is .28,approximately what percentage of the variance in Y can be explained by X?

Accepted Answer

A) 28% 
B) 58% 
C) 78% 
D) 88% 
A) 28% 
B) 58% 
C) 78% 
D) 88%

Question 10

The square of the correlation coefficient indicates the part of the total variance of Y that can be accounted for by X.

Accepted Answer

A) True 
 B)False

Question 11

Standardized variables are often called G-scores.

Accepted Answer

A) True 
 B)False

Question 12

The coefficient of determination reflects the proportion of variance that can be explained by the regression line.

Accepted Answer

A) True 
 B)False

Question 13

A bivariate statistical technique that is used to measure the strength of the relationship between two variables is also called a ____.

Accepted Answer

A) one-group t-test 
B) two-group t-test 
C) measure of association 
D) correlation matrix 
A) one-group t-test 
B) two-group t-test 
C) measure of association 
D) correlation matrix

Question 14

Marketing metrics are qualitative benchmarks.

Accepted Answer

A) True 
 B)False

Question 15

Which correlation coefficient indicates a moderate negative 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 16

If the regression equation is: Y = -4.2 + 3.6X,then the expected score for Y when X is 4 would be ____.

Accepted Answer

A) -18.6 
B) -10.2 
C) +10.2 
D) +18.6 
A) -18.6 
B) -10.2 
C) +10.2 
D) +18.6

Question 17

Correlation coefficients are sufficient to establish that a causal relationship exists between the two variables under study.

Accepted Answer

A) True 
 B)False

Question 18

The ____ is a measure obtained by squaring the correlation coefficient.

Accepted Answer

A) t-statistic 
B) coefficient of determination 
C) F-ratio 
D) Pearson coefficient 
A) t-statistic 
B) coefficient of determination 
C) F-ratio 
D) Pearson coefficient

Question 19

Which of the following measures that part of the total variance of Y that we can account for by knowing the value of X?

Accepted Answer

A) product-moment correlation 
B) correlation coefficient 
C) F-test 
D) coefficient of determination 
A) product-moment correlation 
B) correlation coefficient 
C) F-test 
D) coefficient of determination

Question 20

A(n)____________________ relationship exists when the value of one variable goes up while the value of the other variable goes down.

Accepted Answer

The answer of A(n)____________________ relationship exists when the value of...

Exam 18: Advanced Topics in Linear Analytics

The standard form for reporting observed correlations among multiple variables is the ____.

One way to determine the relationship between X and Y is to simply visually draw the best-fit straight line through the points in the figure.

Covariance is the extent to which a change in one variable corresponds systematically to a change in another.

Which correlation coefficient indicates a moderate positive relationship?

A correlation coefficient indicates the magnitude of the linear relationships but not the direction of that relationship.

Compare and contrast correlation,covariance,and causation.

The statistical significance of a regression model is determined using which test?

If the correlation between two variables is -.55,the coefficient of determination is approximately ____________________.

If the coefficient of determination between X and Y is .28,approximately what percentage of the variance in Y can be explained by X?

The square of the correlation coefficient indicates the part of the total variance of Y that can be accounted for by X.

Standardized variables are often called G-scores.

The coefficient of determination reflects the proportion of variance that can be explained by the regression line.

A bivariate statistical technique that is used to measure the strength of the relationship between two variables is also called a ____.

Marketing metrics are qualitative benchmarks.

Which correlation coefficient indicates a moderate negative relationship?

If the regression equation is: Y = -4.2 + 3.6X,then the expected score for Y when X is 4 would be ____.

Correlation coefficients are sufficient to establish that a causal relationship exists between the two variables under study.

The ____ is a measure obtained by squaring the correlation coefficient.

Which of the following measures that part of the total variance of Y that we can account for by knowing the value of X?

A(n)____________________ relationship exists when the value of one variable goes up while the value of the other variable goes down.

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

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