Question 1

Which equation depicts the relationship between the standardized and non-standardized regression coefficients?

Accepted Answer

A) Byx = byx(S2x/S2y) 
B) B2yx = byx(Sx/Sy) 
C) Byx = byx(Sx/Sy) 
D) B2yx =  byx(S2x/S2y) 
A) Byx = byx(S2x/S2y) 
B) B2yx = byx(Sx/Sy) 
C) Byx = byx(Sx/Sy) 
D) B2yx =  byx(S2x/S2y)

Question 2

Both r and r2 are symmetric measures of association.In other words,the correlation of X and Y is the same as the correlation of Y and X.

Accepted Answer

A) True 
 B)False

Question 3

The estimated parameter b is usually referred to as the non-standardized regression coefficient.

Accepted Answer

A) True 
 B)False

Question 4

If an examination of the residuals indicates that the assumptions underlying linear regression are not met,the researcher can transform the variables in an attempt to satisfy the assumptions.

Accepted Answer

A) True 
 B)False

Question 5

In the absence of ties,Kendall's τ yields a closer approximation to the Pearson product moment correlation coefficient,ρ,than Spearman's ρs.

Accepted Answer

A) True 
 B)False

Question 6

r = 0 indicates ________.

Accepted Answer

A) X and Y have a relationship 
B) X and Y don't have a linear relationship 
C) X and Y are unrelated 
D) X and Y have a linear relationship 
A) X and Y have a relationship 
B) X and Y don't have a linear relationship 
C) X and Y are unrelated 
D) X and Y have a linear relationship

Question 7

The order associated with a partial correlation indicates how many variables are being adjusted or controlled.

Accepted Answer

A) True 
 B)False

Question 8

R2 cannot decrease as more independent variables are added to the regression equation.

Accepted Answer

A) True 
 B)False

Question 9

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

Accepted Answer

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

Question 10

Which of the following is a measure of nonmetric correlation?

Accepted Answer

A) Pearson product moment correlation 
B) Spearman's rho 
C) Kendall's tau 
D) both B and C 
A) Pearson product moment correlation 
B) Spearman's rho 
C) Kendall's tau 
D) both B and C

Question 11

In bivariate regression,the null hypothesis is that no linear relationship exists between X and Y,or H0: β1 = 0.

Accepted Answer

A) True 
 B)False

Question 12

The ________ is a measure of the association between two variables after controlling or adjusting for the effects of one or more additional variables.

Accepted Answer

A) regression analysis 
B) partial correlation coefficient 
C) ANOVA 
D) product moment correlation 
A) regression analysis 
B) partial correlation coefficient 
C) ANOVA 
D) product moment correlation

Which equation depicts the relationship between the standardized and non-standardized regression coefficients?

Both r and r² are symmetric measures of association.In other words,the correlation of X and Y is the same as the correlation of Y and X.

The estimated parameter b is usually referred to as the non-standardized regression coefficient.

If an examination of the residuals indicates that the assumptions underlying linear regression are not met,the researcher can transform the variables in an attempt to satisfy the assumptions.

In the absence of ties,Kendall's τ yields a closer approximation to the Pearson product moment correlation coefficient,ρ,than Spearman's ρ_s.

r = 0 indicates ________.

The order associated with a partial correlation indicates how many variables are being adjusted or controlled.

R²cannot decrease as more independent variables are added to the regression equation.

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

Which of the following is a measure of nonmetric correlation?

In bivariate regression,the null hypothesis is that no linear relationship exists between X and Y,or H₀: β₁=0.

The ________ is a measure of the association between two variables after controlling or adjusting for the effects of one or more additional variables.

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

Causal Research Design: Experimentation

Measurement and Scaling: Fundamentals and Comparative Scaling

Measurement and Scaling: Noncomparative 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

Filters

Exam 17: Correlation and Regression

Which equation depicts the relationship between the standardized and non-standardized regression coefficients?

Both r and r2 are symmetric measures of association.In other words,the correlation of X and Y is the same as the correlation of Y and X.

The estimated parameter b is usually referred to as the non-standardized regression coefficient.

If an examination of the residuals indicates that the assumptions underlying linear regression are not met,the researcher can transform the variables in an attempt to satisfy the assumptions.

In the absence of ties,Kendall's τ yields a closer approximation to the Pearson product moment correlation coefficient,ρ,than Spearman's ρs.

r = 0 indicates ________.

The order associated with a partial correlation indicates how many variables are being adjusted or controlled.

R2 cannot decrease as more independent variables are added to the regression equation.

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

Which of the following is a measure of nonmetric correlation?

In bivariate regression,the null hypothesis is that no linear relationship exists between X and Y,or H0: β1 = 0.

The ________ is a measure of the association between two variables after controlling or adjusting for the effects of one or more additional variables.

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

Causal Research Design: Experimentation

Measurement and Scaling: Fundamentals and Comparative Scaling

Measurement and Scaling: Noncomparative 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

Filters

Both r and r² are symmetric measures of association.In other words,the correlation of X and Y is the same as the correlation of Y and X.

In the absence of ties,Kendall's τ yields a closer approximation to the Pearson product moment correlation coefficient,ρ,than Spearman's ρ_s.

R²cannot decrease as more independent variables are added to the regression equation.

In bivariate regression,the null hypothesis is that no linear relationship exists between X and Y,or H₀: β₁=0.