Question 1

Under which of the following condition should the researcher examine the data for problem?

Accepted Answer

A)  When a regression returns a standardized β coefficient less than 1 or greater than 1 
B)  When a regression returns a standardized β coefficient less than 2 or greater than 2 
C)  When a regression returns a standardized β coefficient less than 5 or greater than 5 
D)  When a regression returns a standardized β coefficient less than 10 or greater than 10 
A)  When a regression returns a standardized β coefficient less than 1 or greater than 1 
B)  When a regression returns a standardized β coefficient less than 2 or greater than 2 
C)  When a regression returns a standardized β coefficient less than 5 or greater than 5 
D)  When a regression returns a standardized β coefficient less than 10 or greater than 10

Question 2

The Chi-square test tests the goodness of fit of the observed distribution with the expected distribution.

Accepted Answer

A) True 
 B)False

Question 3

If r = 0, it indicates that the two variables under study are interdependent.

Accepted Answer

A) True 
 B)False

Question 4

Bivariate regression can be applied on two metric variables.

Accepted Answer

A) True 
 B)False

Question 5

When the correlation between two variables is +0.52 and its associated significance level (p-value) is 0.153, it is implied that:

Accepted Answer

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

Question 6

The Chi-square test analyses the significance of the data in an R x C contingency table, in which R stands for row and C stands for column.

Accepted Answer

A) True 
 B)False

Question 7

In a regression equation, if the average value of Y is 15.6, the average value of X is 5.3, and the y-intercept is 8.5, then the slope is approximately:

Accepted Answer

A)  1.13. 
B)  1.21. 
C)  4.55. 
D)  1.34. 
A)  1.13. 
B)  1.21. 
C)  4.55. 
D)  1.34.

Question 8

The Pearson's correlation coefficient is a statistical measure of causality between two variables.

Accepted Answer

A) True 
 B)False

Question 9

Correlation and regression analysis can be used to test for simple associations between two nominal variables.

Accepted Answer

A) True 
 B)False

Question 10

In the regression equation, is the symbol for the: $Y = \alpha + \beta X , \alpha$

Accepted Answer

A)  residual error. 
B)  y-intercept. 
C)  regression coefficient. 
D)  standard error of the estimate. 
A)  residual error. 
B)  y-intercept. 
C)  regression coefficient. 
D)  standard error of the estimate.

Question 11

In situations in which the data are ordinal, the Pearson correlation technique may be used.

Accepted Answer

A) True 
 B)False

Question 12

If the relationship between two variables is such that both variables are caused by a third variable, then the original relationship between the first two variables is said to be:

Accepted Answer

A)  strong. 
B)  weak. 
C)  neutral. 
D)  spurious. 
A)  strong. 
B)  weak. 
C)  neutral. 
D)  spurious.

Question 13

In regression analysis, the error of a predicted score is found by subtracting the predicted value of Y from the actual value of Y.

Accepted Answer

A) True 
 B)False

Question 14

If there is no relationship between two variables, then the Pearson's correlation coefficient between them will be:

Accepted Answer

A)  +1.0. 
B)  -1.0. 
C)  +0.50. 
D)  0. 
A)  +1.0. 
B)  -1.0. 
C)  +0.50. 
D)  0.

Question 15

A researcher would like to test whether or not gender (that is, male or female) is related to brand awareness (that is, aware or unaware). Which of the following statistical tests would you suggest?

Accepted Answer

A)  Spearman's rank correlation 
B)  Independent samples t-test 
C)  Chi-square test 
D)  Regression analysis 
A)  Spearman's rank correlation 
B)  Independent samples t-test 
C)  Chi-square test 
D)  Regression analysis

Question 16

Suppose that two groups of consumers (for example, males and females) are asked to rank, in order of preference, the brands of a product class (for example, microwave meals). Which statistical test would be appropriate to determine the agreement between the two groups?

Accepted Answer

A)  Correlation analysis 
B)  Chi-square analysis 
C)  Spearman's correlation 
D)  Independent samples t-test 
A)  Correlation analysis 
B)  Chi-square analysis 
C)  Spearman's correlation 
D)  Independent samples t-test

Question 17

Two groups of students - those looking to study science degrees and those looking to study business degrees - are asked to rank, in order of preference, the universities they are applying for. The researcher then wants to determine the correlation between the two groups. Which statistical test is most appropriate?

Accepted Answer

A)  Pearson's correlation coefficient 
B)  Chi-square test 
C)  Spearman's rank-order correlation coefficient 
D)  Independent samples t-test 
A)  Pearson's correlation coefficient 
B)  Chi-square test 
C)  Spearman's rank-order correlation coefficient 
D)  Independent samples t-test

Question 18

In regression analysis, the deviation not explained by the regression is known as the:

Accepted Answer

A)  sampling error. 
B)  residual error. 
C)  total error. 
D)  standardised error. 
A)  sampling error. 
B)  residual error. 
C)  total error. 
D)  standardised error.

Question 19

If the correlation between X and Y is -0.42, approximately what percentage of the variance in Y can be explained by X?

Accepted Answer

A)  18 per cent 
B)  42 per cent 
C)  21 per cent 
D)  84 per cent 
A)  18 per cent 
B)  42 per cent 
C)  21 per cent 
D)  84 per cent

Question 20

In correlation analysis, the null hypothesis is typically stated as ρ = 0.

Accepted Answer

A) True 
 B)False

Under which of the following condition should the researcher examine the data for problem?

The Chi-square test tests the goodness of fit of the observed distribution with the expected distribution.

If r = 0, it indicates that the two variables under study are interdependent.

Bivariate regression can be applied on two metric variables.

When the correlation between two variables is +0.52 and its associated significance level (p-value) is 0.153, it is implied that:

The Chi-square test analyses the significance of the data in an R x C contingency table, in which R stands for row and C stands for column.

In a regression equation, if the average value of Y is 15.6, the average value of X is 5.3, and the y-intercept is 8.5, then the slope is approximately:

The Pearson's correlation coefficient is a statistical measure of causality between two variables.

Correlation and regression analysis can be used to test for simple associations between two nominal variables.

In the regression equation, is the symbol for the: $Y = \alpha + \beta X , \alpha$

In situations in which the data are ordinal, the Pearson correlation technique may be used.

If the relationship between two variables is such that both variables are caused by a third variable, then the original relationship between the first two variables is said to be:

In regression analysis, the error of a predicted score is found by subtracting the predicted value of Y from the actual value of Y.

If there is no relationship between two variables, then the Pearson's correlation coefficient between them will be:

A researcher would like to test whether or not gender (that is, male or female) is related to brand awareness (that is, aware or unaware). Which of the following statistical tests would you suggest?

Suppose that two groups of consumers (for example, males and females) are asked to rank, in order of preference, the brands of a product class (for example, microwave meals). Which statistical test would be appropriate to determine the agreement between the two groups?

In regression analysis, the deviation not explained by the regression is known as the:

If the correlation between X and Y is -0.42, approximately what percentage of the variance in Y can be explained by X?

In correlation analysis, the null hypothesis is typically stated as ρ = 0.

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

Exam 14: Bivariate Statistical Analysis: Tests of Association

Under which of the following condition should the researcher examine the data for problem?

The Chi-square test tests the goodness of fit of the observed distribution with the expected distribution.

If r = 0, it indicates that the two variables under study are interdependent.

Bivariate regression can be applied on two metric variables.

When the correlation between two variables is +0.52 and its associated significance level (p-value) is 0.153, it is implied that:

The Chi-square test analyses the significance of the data in an R x C contingency table, in which R stands for row and C stands for column.

In a regression equation, if the average value of Y is 15.6, the average value of X is 5.3, and the y-intercept is 8.5, then the slope is approximately:

The Pearson's correlation coefficient is a statistical measure of causality between two variables.

Correlation and regression analysis can be used to test for simple associations between two nominal variables.

In the regression equation, is the symbol for the: Y=α+βX,αY = \alpha + \beta X , \alphaY=α+βX,α

In situations in which the data are ordinal, the Pearson correlation technique may be used.

If the relationship between two variables is such that both variables are caused by a third variable, then the original relationship between the first two variables is said to be:

In regression analysis, the error of a predicted score is found by subtracting the predicted value of Y from the actual value of Y.

If there is no relationship between two variables, then the Pearson's correlation coefficient between them will be:

A researcher would like to test whether or not gender (that is, male or female) is related to brand awareness (that is, aware or unaware). Which of the following statistical tests would you suggest?

Suppose that two groups of consumers (for example, males and females) are asked to rank, in order of preference, the brands of a product class (for example, microwave meals). Which statistical test would be appropriate to determine the agreement between the two groups?

In regression analysis, the deviation not explained by the regression is known as the:

If the correlation between X and Y is -0.42, approximately what percentage of the variance in Y can be explained by X?

In correlation analysis, the null hypothesis is typically stated as ρ = 0.

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

In the regression equation, is the symbol for the: $Y = \alpha + \beta X , \alpha$