Question 1

Which statement about the correlation coefficient,r,is true?

Accepted Answer

A)  The correlation coefficient computed for a population is denoted by ρ(rho). 
B)  Data obtained by using rating scales with a small number of categories tends to deflate r. 
C)  The calculation of r assumes that X and Y are metric variables whose distributions have the same shape. 
D)  All of the statements are true. 
A)  The correlation coefficient computed for a population is denoted by ρ(rho). 
B)  Data obtained by using rating scales with a small number of categories tends to deflate r. 
C)  The calculation of r assumes that X and Y are metric variables whose distributions have the same shape. 
D)  All of the statements are true.

Question 2

________ is a regression procedure in which the predictor variables enter or leave the regression equation one at a time.

Accepted Answer

A)  Multiple regression 
B)  Stepwise regression 
C)  Dummy variable regression 
D)  Bivariate regression 
A)  Multiple regression 
B)  Stepwise regression 
C)  Dummy variable regression 
D)  Bivariate regression

Question 3

When considering nonmetric correlation,as a rule of thumb,________ is to be preferred when a large number of cases fall into a relatively small number of categories (thereby leading to a large number of ties).

Accepted Answer

A)  Kendall's tau 
B)  chi-square 
C)  Spearman's rho 
D)  Pearson product moment correlation 
A)  Kendall's tau 
B)  chi-square 
C)  Spearman's rho 
D)  Pearson product moment correlation

Question 4

Which statistic is associated only with multiple regression and not with bivariate regression?

Accepted Answer

A)  adjusted R2 
B)  partial F test 
C)  estimated or predicted value (Ў) 
D)  both A and B 
A)  adjusted R2 
B)  partial F test 
C)  estimated or predicted value (Ў) 
D)  both A and B

Question 5

The hypotheses for the test for significance of the coefficient of determination are: H0: R2pop = 0 ;H1: R2pop > 0.

Accepted Answer

A) True 
 B)False

Question 6

The product moment correlation helps us determine the strength of the association between two metric variables.Regression analysis helps us determine which variables cause a change in other variables.

Accepted Answer

A) True 
 B)False

Question 7

In bivariate regression,which statement is true concerning the coefficient of determination,r2?

Accepted Answer

A)  r2 varies between 0 and 1. 
B)  r2 signifies the proportion of the total variation in Y accounted for by the variation in X. 
C)  r2 is the square of the simple correlation coefficient obtained by correlating the two variables. 
D)  All are correct. 
A)  r2 varies between 0 and 1. 
B)  r2 signifies the proportion of the total variation in Y accounted for by the variation in X. 
C)  r2 is the square of the simple correlation coefficient obtained by correlating the two variables. 
D)  All are correct.

Question 8

The equation for r is represented as ________.

Accepted Answer

A)  Sx2Sy2/COV 
B)  COVxy/ SxSy 
C)  SxSy/COV 
D)  COVxy/ Sx2Sy2 
A)  Sx2Sy2/COV 
B)  COVxy/ SxSy 
C)  SxSy/COV 
D)  COVxy/ Sx2Sy2

Question 9

A residual is the difference between the observed value of Yi and the value predicted by the regression equation,Ўi.

Accepted Answer

A) True 
 B)False

Which statement about the correlation coefficient,r,is true?

________ is a regression procedure in which the predictor variables enter or leave the regression equation one at a time.

When considering nonmetric correlation,as a rule of thumb,________ is to be preferred when a large number of cases fall into a relatively small number of categories (thereby leading to a large number of ties).

Which statistic is associated only with multiple regression and not with bivariate regression?

The hypotheses for the test for significance of the coefficient of determination are: H0: R²pop = 0 ;H¹: R²pop > 0.

The product moment correlation helps us determine the strength of the association between two metric variables.Regression analysis helps us determine which variables cause a change in other variables.

In bivariate regression,which statement is true concerning the coefficient of determination,r²?

The equation for r is represented as ________.

A residual is the difference between the observed value of Yi and the value predicted by the regression equation,Ў_i.

Introduction to Marketing Research

Defining the Marketing Research Problem and Developing an Approach

Research Design

Exploratory Research Design: Secondary Data

Exploratory Research Design: Qualitative Research

Descriptive Research Design: Survey and Observation

Casual Research Design: Experimentation

Measurement and Scaling: Fundamentals and Comparative Scaling

Measurement and Scaling: Non Comparative Scaling Techniques

Questionnaire and Form Design

Sampling: Design and Procedures

Sampling: Final and Initial Sample Size Determination

Fieldwork

Data Preparation

Frequency Distribution, cross-Tabulation, and Hypothesis Testing

Analysis of Variance and Covariance

Discriminant and Logit Analysis

Factor Analysis

Cluster Analysis

Multidimensional Scaling and Conjoint Analysis

Structural Equation Modeling and Path Analysis

Report Preparation and Presentation

International Marketing Research

Filters

Exam 17: Correlation and Regression

Which statement about the correlation coefficient,r,is true?

________ is a regression procedure in which the predictor variables enter or leave the regression equation one at a time.

When considering nonmetric correlation,as a rule of thumb,________ is to be preferred when a large number of cases fall into a relatively small number of categories (thereby leading to a large number of ties).

Which statistic is associated only with multiple regression and not with bivariate regression?

The hypotheses for the test for significance of the coefficient of determination are: H0: R2pop = 0 ;H1: R2pop > 0.

The product moment correlation helps us determine the strength of the association between two metric variables.Regression analysis helps us determine which variables cause a change in other variables.

In bivariate regression,which statement is true concerning the coefficient of determination,r2?

The equation for r is represented as ________.

A residual is the difference between the observed value of Yi and the value predicted by the regression equation,Ўi.

Introduction to Marketing Research

Defining the Marketing Research Problem and Developing an Approach

Research Design

Exploratory Research Design: Secondary Data

Exploratory Research Design: Qualitative Research

Descriptive Research Design: Survey and Observation

Casual Research Design: Experimentation

Measurement and Scaling: Fundamentals and Comparative Scaling

Measurement and Scaling: Non Comparative Scaling Techniques

Questionnaire and Form Design

Sampling: Design and Procedures

Sampling: Final and Initial Sample Size Determination

Fieldwork

Data Preparation

Frequency Distribution, cross-Tabulation, and Hypothesis Testing

Analysis of Variance and Covariance

Discriminant and Logit Analysis

Factor Analysis

Cluster Analysis

Multidimensional Scaling and Conjoint Analysis

Structural Equation Modeling and Path Analysis

Report Preparation and Presentation

International Marketing Research

Filters

The hypotheses for the test for significance of the coefficient of determination are: H0: R²pop = 0 ;H¹: R²pop > 0.

In bivariate regression,which statement is true concerning the coefficient of determination,r²?

A residual is the difference between the observed value of Yi and the value predicted by the regression equation,Ў_i.