Question 1

In multiple regression,if the overall null hypothesis is rejected,we know which specific coefficients (βis)are nonzero.

Accepted Answer

A) True 
 B)False

Question 2

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

Question 3

Given the multiple regression equation,Ў= a + b1X1 + b2X2,and the bivariate equation = a + bX,why is the partial regression coefficient,b1,different from the regression coefficient,b,obtained by regressing Y on only X1?

Accepted Answer

This happens because X₁ and X₂ are usually

Question 4

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

Accepted Answer

A) True 
 B)False

Question 5

Regression analysis models helped Avon realize that employee benefits and the appointment fee that representatives pay for materials were significant variables affecting the decline in their sales staff.

Accepted Answer

A) True 
 B)False

Question 6

Which statement is not true about correlation matrices?

Accepted Answer

A)  The diagonal elements all equal 0. 
B)  The upper triangular portion of the matrix is a mirror image of the lower triangular portion. 
C)  A correlation matrix indicates the coefficient of correlation between each pair of variables. 
D)  Usually only the lower portion of the matrix is considered. 
A)  The diagonal elements all equal 0. 
B)  The upper triangular portion of the matrix is a mirror image of the lower triangular portion. 
C)  A correlation matrix indicates the coefficient of correlation between each pair of variables. 
D)  Usually only the lower portion of the matrix is considered.

Question 7

A correlation matrix indicates the coefficient of correlation between each pair of variables.

Accepted Answer

A) True 
 B)False

Question 8

Regression in which a single independent variable has been recoded into dummy variables is equivalent to one-way analysis of variance.

Accepted Answer

A) True 
 B)False

Question 9

The formula for the coefficient of determination is r2 = SSreg/ SSy.

Accepted Answer

A) True 
 B)False

Question 10

The statistical significance of the linear relationship between X and Y may be tested by examining the hypotheses: H0: β1 ≠ 0;H1: β1 = 0.

Accepted Answer

A) True 
 B)False

Question 11

________ is a statistical technique that simultaneously develops a mathematical relationship between two or more independent variables and an interval-scaled dependent variable.

Accepted Answer

A)  Multiple regression 
B)  The least-squares procedure 
C)  Chi-square 
D)  Bivariate regression 
A)  Multiple regression 
B)  The least-squares procedure 
C)  Chi-square 
D)  Bivariate regression

Question 12

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

Accepted Answer

A) True 
 B)False

Question 13

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

Accepted Answer

A) True 
 B)False

Question 14

The standard error of estimate,SEE,is the standard deviation of the actual Y values from the predicted Ў values.

Accepted Answer

A) True 
 B)False

Question 15

The multiple correlation coefficient,R,can also be viewed as the simple correlation coefficient,r,between Y and Ў.

Accepted Answer

A) True 
 B)False

Question 16

Which of the following is not a problem associated with multicollinearity?

Accepted Answer

A)  It becomes difficult to compute the correct test statistic. 
B)  It becomes difficult to assess the relative importance of the independent variables in explaining the variation in the dependent variables. 
C)  The partial regression coefficients may not be estimated precisely.The standard errors are likely to be high. 
D)  Predictor variables may be incorrectly included or removed in stepwise regression. 
A)  It becomes difficult to compute the correct test statistic. 
B)  It becomes difficult to assess the relative importance of the independent variables in explaining the variation in the dependent variables. 
C)  The partial regression coefficients may not be estimated precisely.The standard errors are likely to be high. 
D)  Predictor variables may be incorrectly included or removed in stepwise regression.

Question 17

The coefficient of multiple determination is adjusted for the number of dependent variables and the sample size to account for diminishing returns.

Accepted Answer

A) True 
 B)False

Question 18

________ is the appropriate test statistic to use to determine the significance of the coefficient of determination in bivariate regression.

Accepted Answer

A)  F statistic 
B)  Z statistic 
C)  ω2 
D)  T statistic 
A)  F statistic 
B)  Z statistic 
C)  ω2 
D)  T statistic

Question 19

In the equation COVxy/ SxSy,Sx and Sy represent ________.

Accepted Answer

A)  the means of X and Y 
B)  the strength of the effects of X and Y 
C)  the standard deviation of X and Y 
D)  the variances of X and Y 
A)  the means of X and Y 
B)  the strength of the effects of X and Y 
C)  the standard deviation of X and Y 
D)  the variances of X and Y

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

Exam 17: Correlation and Regression

In multiple regression,if the overall null hypothesis is rejected,we know which specific coefficients (βis)are nonzero.

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

Given the multiple regression equation,Ў= a + b1X1 + b2X2,and the bivariate equation = a + bX,why is the partial regression coefficient,b1,different from the regression coefficient,b,obtained by regressing Y on only X1?

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

Regression analysis models helped Avon realize that employee benefits and the appointment fee that representatives pay for materials were significant variables affecting the decline in their sales staff.

Which statement is not true about correlation matrices?

A correlation matrix indicates the coefficient of correlation between each pair of variables.

Regression in which a single independent variable has been recoded into dummy variables is equivalent to one-way analysis of variance.

The formula for the coefficient of determination is r2 = SSreg/ SSy.

The statistical significance of the linear relationship between X and Y may be tested by examining the hypotheses: H0: β1 ≠ 0;H1: β1 = 0.

________ is a statistical technique that simultaneously develops a mathematical relationship between two or more independent variables and an interval-scaled dependent variable.

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

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

The standard error of estimate,SEE,is the standard deviation of the actual Y values from the predicted Ў values.

The multiple correlation coefficient,R,can also be viewed as the simple correlation coefficient,r,between Y and Ў.

Which of the following is not a problem associated with multicollinearity?

The coefficient of multiple determination is adjusted for the number of dependent variables and the sample size to account for diminishing returns.

________ is the appropriate test statistic to use to determine the significance of the coefficient of determination in bivariate regression.

In the equation COVxy/ SxSy,Sx and Sy represent ________.

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

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

Given the multiple regression equation,Ў= a + b₁X₁ + b₂X₂,and the bivariate equation = a + bX,why is the partial regression coefficient,b₁,different from the regression coefficient,b,obtained by regressing Y on only X₁?

The formula for the coefficient of determination is r² = SSreg/ SSy.

The statistical significance of the linear relationship between X and Y may be tested by examining the hypotheses: H₀: β₁ ≠ 0;H₁: β₁ = 0.

In the equation COV_xy/ S_xS_y,S_x and S_yrepresent ________.