Question 1

The partial correlation coefficient is generally viewed as more important than the part correlation coefficient.

Accepted Answer

A) True 
 B)False  True

Question 2

The equation for r is represented as ________.

Accepted Answer

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

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

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 analysis can be used to determine if color preference is related to product size and price. 
C) Regression can be used to predict the values of the dependent variable. 
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 analysis can be used to determine if color preference is related to product size and price. 
C) Regression can be used to predict the values of the dependent variable. 
D) Regression analysis is a powerful and flexible procedure for analyzing associative relationships between a metric dependent variable and one or more independent variables.

Question 5

The general form of the multiple regression model is estimated by which equation?

Accepted Answer

A) Ŷ i = a + bXi 
B) Ŷ i =β0 + β1 Xi + ei 
C) Ŷ =a + b1 X1 + b2 X2 + b3X3 + ...+ bkXk 
D) Ŷ = a + b1X1 + b2X2 
A) Ŷ i = a + bXi 
B) Ŷ i =β0 + β1 Xi + ei 
C) Ŷ =a + b1 X1 + b2 X2 + b3X3 + ...+ bkXk 
D) Ŷ = a + b1X1 + b2X2

Question 6

The product moment correlation,r2,is an index used to determine whether a linear,or straight-line,relationship exists between X and Y.It indicates the degree to which the variation in one variable,X,is related to the variation in another variable,Y.

Accepted Answer

A) True 
 B)False

Question 7

The ________ is a statistic summarizing the strength of association between two metric variables.

Accepted Answer

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

Question 8

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 9

The vertical distance from a point to the regression line is the squared error,e2.

Accepted Answer

A) True 
 B)False

Question 10

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

Question 11

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

Question 12

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

Question 13

If a variable explains a significant proportion of the residual variation,it should be considered for inclusion in the regression equation.

Accepted Answer

A) True 
 B)False

Question 14

Suppose a researcher wants to explain attitudes towards a respondent's city of residence in terms of duration of residence in the city.The attitude is measured on an 11-point scale and the duration of residence is measured in terms of the number of years the respondent has lived in the city.In a pretest of 12 respondents,the calculated t value for the correlation coefficient based on the data given is 8.414.The critical value of t for a two-tailed test and α = 0.05 is 2.228.r = .9361.What is the null hypothesis for this scenario? What do the results mean in terms of the null hypothesis and the correlation coefficient,r?

Accepted Answer

The null hypothesis of no relationship b

Question 15

The partial correlation coefficient is a measure of the correlation between Y and X when the linear effects of the other independent variables have been removed from X but not from Y.

Accepted Answer

A) True 
 B)False

Question 16

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

Accepted Answer

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

Question 17

In what ways can regression analysis be used?

Accepted Answer

1.Determine whether the independent vari

Question 18

The relationship between X and Y is spurious if ________.

Accepted Answer

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

Question 19

Which of the following situations is best addressed by regression?

Accepted Answer

A) Is there an association between market share and the size of the sales force? 
B) Is there an association between market share and size of the sales force after adjusting for the effect of sales promotion? 
C) Determine how much of the variation in the dependent variable (store sales)can be explained by the independent variables (price and level of advertisement). 
D) Are consumers' perceptions of quality related to their perceptions of prices when the effect of brand image is controlled? 
A) Is there an association between market share and the size of the sales force? 
B) Is there an association between market share and size of the sales force after adjusting for the effect of sales promotion? 
C) Determine how much of the variation in the dependent variable (store sales)can be explained by the independent variables (price and level of advertisement). 
D) Are consumers' perceptions of quality related to their perceptions of prices when the effect of brand image is controlled?

Question 20

The bivariate regression model that accounts for the probabilistic or stochastic nature of the relationship between X and Y is ________.

Accepted Answer

A) Ŷ = a + b1X1 + b2X2 
B) Y = β0 + β1 Xi 
C) Yi =β0 + β1 Xi + ei 
D) Ŷ i = a + bXi 
A) Ŷ = a + b1X1 + b2X2 
B) Y = β0 + β1 Xi 
C) Yi =β0 + β1 Xi + ei 
D) Ŷ i = a + bXi

Exam 17: Correlation and Regression

The partial correlation coefficient is generally viewed as more important than the part correlation coefficient.

The equation for r is represented as ________.

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.

Which statement is not true about regression analysis?

The general form of the multiple regression model is estimated by which equation?

The product moment correlation,r2,is an index used to determine whether a linear,or straight-line,relationship exists between X and Y.It indicates the degree to which the variation in one variable,X,is related to the variation in another variable,Y.

The ________ is a statistic summarizing the strength of association between two metric variables.

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.

The vertical distance from a point to the regression line is the squared error,e2.

________ 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).

If a variable explains a significant proportion of the residual variation,it should be considered for inclusion in the regression equation.

The partial correlation coefficient is a measure of the correlation between Y and X when the linear effects of the other independent variables have been removed from X but not from Y.

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

In what ways can regression analysis be used?

The relationship between X and Y is spurious if ________.

Which of the following situations is best addressed by regression?

The bivariate regression model that accounts for the probabilistic or stochastic nature of the relationship between X and Y is ________.

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

The product moment correlation,r²,is an index used to determine whether a linear,or straight-line,relationship exists between X and Y.It indicates the degree to which the variation in one variable,X,is related to the variation in another variable,Y.

The vertical distance from a point to the regression line is the squared error,e²^.

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