Question 1

The question of "How strongly are sales related to advertising expenditures when the effect of price is controlled?" is best answered via ________.

Accepted Answer

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

Question 2

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 D

Question 3

The product moment correlation,r,is the most widely used statistic summarizing the strength of association between two metric (interval or ordinal scaled)variable,say X and Y.

Accepted Answer

A) True 
 B)False  False

Question 4

The purpose of stepwise regression is to select,from a large number of predictor variables,a small subset of variables that account for most of the variation in the dependent or criterion variable.

Accepted Answer

A) True 
 B)False

Question 5

The covariance may be either positive or negative.

Accepted Answer

A) True 
 B)False

Question 6

________ variables may be used as predictors or independent variables by coding them as dummy variables.

Accepted Answer

A)  Ratio 
B)  Categorical 
C)  Interval 
D)  All of the above 
A)  Ratio 
B)  Categorical 
C)  Interval 
D)  All of the above

Question 7

Because r indicates the degrees to which variation in one variable is related to variation in another,it can also be expressed in terms of the decomposition of the total variation.

Accepted Answer

A) True 
 B)False

Question 8

In multiple regression,if the overall null hypothesis is rejected,which statement is true?

Accepted Answer

A)  We know which specific βs are nonzero. 
B)  We do not know which βs are nonzero. 
C)  We can use t = b/SEb to determine which βs are nonzero. 
D)  Both B and C are correct. 
A)  We know which specific βs are nonzero. 
B)  We do not know which βs are nonzero. 
C)  We can use t = b/SEb to determine which βs are nonzero. 
D)  Both B and C are correct.

Question 9

The ________ denotes the change in the predicted value,Ў,per unit change in X1 when the other independent variables,X2 to Xk,are held constant.

Accepted Answer

A)  part regression coefficient 
B)  partial correlation coefficient 
C)  partial regression coefficient 
D)  part correlation coefficient 
A)  part regression coefficient 
B)  partial correlation coefficient 
C)  partial regression coefficient 
D)  part correlation coefficient

Question 10

________ is a statistical procedure for analyzing associative relationships between a metric dependent variable and one or more independent variables.

Accepted Answer

A)  Product moment correlation 
B)  ANOVA 
C)  Partial correlation coefficient 
D)  Regression analysis 
A)  Product moment correlation 
B)  ANOVA 
C)  Partial correlation coefficient 
D)  Regression analysis

Question 11

________ is a state of very high intercorrelations among independent variables.

Accepted Answer

A)  Hypercollinearity 
B)  Multicollinearity 
C)  Partial collinearity 
D)  Variable collinearity 
A)  Hypercollinearity 
B)  Multicollinearity 
C)  Partial collinearity 
D)  Variable collinearity

Question 12

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

Accepted Answer

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

Question 13

If the nonmetric variables are nominal and numeric,Spearman's rho and Kendall's tau are two measures of nonmetric correlation that can be used to examine the correlation between them.

Accepted Answer

A) True 
 B)False

Question 14

Partial correlations have an order associated with them.The order indicates how many variables are being adjusted or controlled.The simple correlation coefficient,r,has a ________,as it does not control for any additional variables when measuring the association between two variables.The coefficient rsy.z is a ________ partial correlation coefficient,as it controls for the effect of one additional variable,Z.

Accepted Answer

A)  zero-order;second-order 
B)  first-order;second-order 
C)  zero-order;first-order 
D)  first-order;third-order 
A)  zero-order;second-order 
B)  first-order;second-order 
C)  zero-order;first-order 
D)  first-order;third-order

Question 15

r = 0 indicates ________.

Accepted Answer

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

Question 16

The relationship between X and Y is spurious if ________.

Accepted Answer

A)  the correlation between X and Y disappears when the effect of Z is controlled 
B)  Y increases exponentially with increases in X 
C)  Y decreases exponentially with decreases in X 
D)  both A and C are correct 
A)  the correlation between X and Y disappears when the effect of Z is controlled 
B)  Y increases exponentially with increases in X 
C)  Y decreases exponentially with decreases in X 
D)  both A and C are correct

Question 17

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 18

The product moment correlation is also known as the Pearson correlation coefficient and as ________.

Accepted Answer

A)  bivariate correlation 
B)  correlation coefficient 
C)  simple correlation 
D)  all of the above 
A)  bivariate correlation 
B)  correlation coefficient 
C)  simple correlation 
D)  all of the above

Question 19

To estimate the accuracy of predicted values, Ў  , found in bivariate regression, it is useful to calculate the ________, the standard deviation of the actual Y values for the predicted  Ў values.

Accepted Answer

A)  standard error 
B)  covariance 
C)  coefficient of determination 
D)  standard error of the estimate 
A)  standard error 
B)  covariance 
C)  coefficient of determination 
D)  standard error of the estimate

Question 20

Which statement is not true about regression analysis?

Accepted Answer

A)  The terms dependent or criterion variables,and independent or predictor variables in regression analysis do not imply that the criterion variable is dependent on the independent variables in a causal sense. 
B)  Regression can be used to predict the values of the dependent variable. 
C)  Regression analysis can be used to determine if color preference is related to product size and price. 
D)  Regression analysis is a powerful and flexible procedure for analyzing associative relationships between a metric dependent variable and one or more independent variables. 
A)  The terms dependent or criterion variables,and independent or predictor variables in regression analysis do not imply that the criterion variable is dependent on the independent variables in a causal sense. 
B)  Regression can be used to predict the values of the dependent variable. 
C)  Regression analysis can be used to determine if color preference is related to product size and price. 
D)  Regression analysis is a powerful and flexible procedure for analyzing associative relationships between a metric dependent variable and one or more independent variables.

Exam 17: Correlation and Regression

The question of "How strongly are sales related to advertising expenditures when the effect of price is controlled?" is best answered via ________.

Which of the following is a measure of nonmetric correlation?

The product moment correlation,r,is the most widely used statistic summarizing the strength of association between two metric (interval or ordinal scaled)variable,say X and Y.

The purpose of stepwise regression is to select,from a large number of predictor variables,a small subset of variables that account for most of the variation in the dependent or criterion variable.

The covariance may be either positive or negative.

________ variables may be used as predictors or independent variables by coding them as dummy variables.

Because r indicates the degrees to which variation in one variable is related to variation in another,it can also be expressed in terms of the decomposition of the total variation.

In multiple regression,if the overall null hypothesis is rejected,which statement is true?

The ________ denotes the change in the predicted value,Ў,per unit change in X1 when the other independent variables,X2 to Xk,are held constant.

________ is a statistical procedure for analyzing associative relationships between a metric dependent variable and one or more independent variables.

________ is a state of very high intercorrelations among independent variables.

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

If the nonmetric variables are nominal and numeric,Spearman's rho and Kendall's tau are two measures of nonmetric correlation that can be used to examine the correlation between them.

r = 0 indicates ________.

The relationship between X and Y is spurious if ________.

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 product moment correlation is also known as the Pearson correlation coefficient and as ________.

To estimate the accuracy of predicted values, Ў , found in bivariate regression, it is useful to calculate the ________, the standard deviation of the actual Y values for the predicted Ў values.

Which statement is not true about regression analysis?

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 ________ denotes the change in the predicted value,Ў,per unit change in X₁ when the other independent variables,X₂ to Xk,are held constant.

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.