Question 1

The coefficient of determination measures the part of the total variance of Y that is accounted for by knowing the value of X.

Accepted Answer

A) True 
 B)False

Question 2

All of the following statistical tests can be used to test for associations between variables, except:

Accepted Answer

A)  Spearman's rank correlation. 
B)  regression analysis. 
C)  Chi-square test. 
D)  ANOVA. 
A)  Spearman's rank correlation. 
B)  regression analysis. 
C)  Chi-square test. 
D)  ANOVA.

Question 3

When testing for association between two variables, it is possible that they can be statistically significant but not appear to be meaningfully associated.

Accepted Answer

A) True 
 B)False

Question 4

When the correlation between two variables is -0.32 and its associated significance level (p-value) is 0.0352, it is implied that:

Accepted Answer

A)  there is no relationship between the variables. 
B)  there is a weak inverse relationship between the variables. 
C)  there is a moderate inverse relationship between the variables. 
D)  there is a strong inverse relationship between the variables. 
A)  there is no relationship between the variables. 
B)  there is a weak inverse relationship between the variables. 
C)  there is a moderate inverse relationship between the variables. 
D)  there is a strong inverse relationship between the variables.

Question 5

The formula below is the formula for _______________________. $r_{w y}=r_{y p}=\frac{\Sigma\left(X_{i}-\bar{X}\right)\left(Y_{i}-\bar{Y}\right)}{\sqrt{\Sigma\left(X_{i}-\bar{X}^{2}\right)^{2} \Sigma\left(Y_{i}-\bar{Y}\right)^{2}}}$

Accepted Answer

A)  the standard error of the estimate 
B)  the standard error of the mean 
C)  the coefficient of determination 
D)  the Pearson's correlation coefficient 
A)  the standard error of the estimate 
B)  the standard error of the mean 
C)  the coefficient of determination 
D)  the Pearson's correlation coefficient

Question 6

The least-squares regression line minimises 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 7

If the value of r is +1.0, there is no relationship between the two variables under study.

Accepted Answer

A) True 
 B)False

Question 8

All of the following statements about the Correlation Coefficient are true, except:

Accepted Answer

A)  It provides direction of association. 
B)  It provides strength of association. 
C)  It provides statistical significance of association. 
D)  It provides the variance in associations. 
A)  It provides direction of association. 
B)  It provides strength of association. 
C)  It provides statistical significance of association. 
D)  It provides the variance in associations.

The coefficient of determination measures the part of the total variance of Y that is accounted for by knowing the value of X.

All of the following statistical tests can be used to test for associations between variables, except:

When testing for association between two variables, it is possible that they can be statistically significant but not appear to be meaningfully associated.

When the correlation between two variables is -0.32 and its associated significance level (p-value) is 0.0352, it is implied that:

The formula below is the formula for _______________________. $r_{w y}=r_{y p}=\frac{\Sigma\left(X_{i}-\bar{X}\right)\left(Y_{i}-\bar{Y}\right)}{\sqrt{\Sigma\left(X_{i}-\bar{X}^{2}\right)^{2} \Sigma\left(Y_{i}-\bar{Y}\right)^{2}}}$

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

If the value of r is +1.0, there is no relationship between the two variables under study.

All of the following statements about the Correlation Coefficient are true, except:

The Role of Marketing Research and the Research Process

Problem Definition and the Research Process

Qualitative Research

Secondary Research and Big Data

Survey Research

Observation

Experimental Research and Test Marketing

Measurement

Questionnaire Design

Sampling: Sample Design and Sample Size

Data Preparation

Univariate Statistical Analysis: a Recap of Inferential Statistics

Bivariate Statistical Analysis: Tests of Differences

Multivariate Statistical Analysis

Communicating Research Results: Research Report, Oral Presentation and Research Follow-Up

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Exam 14: Bivariate Statistical Analysis: Tests of Association

The coefficient of determination measures the part of the total variance of Y that is accounted for by knowing the value of X.

All of the following statistical tests can be used to test for associations between variables, except:

When testing for association between two variables, it is possible that they can be statistically significant but not appear to be meaningfully associated.

When the correlation between two variables is -0.32 and its associated significance level (p-value) is 0.0352, it is implied that:

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

If the value of r is +1.0, there is no relationship between the two variables under study.

All of the following statements about the Correlation Coefficient are true, except:

The Role of Marketing Research and the Research Process

Problem Definition and the Research Process

Qualitative Research

Secondary Research and Big Data

Survey Research

Observation

Experimental Research and Test Marketing

Measurement

Questionnaire Design

Sampling: Sample Design and Sample Size

Data Preparation

Univariate Statistical Analysis: a Recap of Inferential Statistics

Bivariate Statistical Analysis: Tests of Differences

Multivariate Statistical Analysis

Communicating Research Results: Research Report, Oral Presentation and Research Follow-Up

Filters