Question 1

The non-standardized regression coefficient indicates the expected change in Y when X is changed by one unit.

Accepted Answer

A) True 
 B)False

Question 2

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 3

The product moment correlation is also referred to as regression correlation.

Accepted Answer

A) True 
 B)False

Question 4

________ derives a mathematical equation in the form of a straight line between a single metric criterion variable and a single metric predictor variable.

Accepted Answer

A)  Bivariate regression 
B)  Standard deviation 
C)  Standard error of the mean 
D)  Analysis of variance 
E)  Functional linear analysis 
A)  Bivariate regression 
B)  Standard deviation 
C)  Standard error of the mean 
D)  Analysis of variance 
E)  Functional linear analysis

Question 5

The strength of association is measured by the coefficient of determination.

Accepted Answer

A) True 
 B)False

Question 6

All of the following about multiple regression are true EXCEPT:

Accepted Answer

A)  R² cannot be less than the highest bivariate r² between an independent variable and the dependent variable. 
B)  R² will be larger when the correlations between independent variables are low. 
C)  If the independent variables are uncorrelated, then R² will be the sum of the bivariate r² of each independent variable with the dependent variable. 
D)  Adjusted R² adjusts for the number of independent variables and sample size. 
E)  R² can decrease as more independent variables are added to the regression equation. 
A)  R² cannot be less than the highest bivariate r² between an independent variable and the dependent variable. 
B)  R² will be larger when the correlations between independent variables are low. 
C)  If the independent variables are uncorrelated, then R² will be the sum of the bivariate r² of each independent variable with the dependent variable. 
D)  Adjusted R² adjusts for the number of independent variables and sample size. 
E)  R² can decrease as more independent variables are added to the regression equation.

Question 7

The product moment correlation is also referred to as all of the following EXCEPT:

Accepted Answer

A)  simple correlation. 
B)  bivariate correlation. 
C)  correlation coefficient. 
D)  Pearson correlation. 
E)  F-statistic. 
A)  simple correlation. 
B)  bivariate correlation. 
C)  correlation coefficient. 
D)  Pearson correlation. 
E)  F-statistic.

Question 8

Which of the following statistics indicates the degree to which the variation in one variable, X, is related to the variation in another variable, Y?

Accepted Answer

A)  covariance correlation 
B)  inverse correlation 
C)  product moment correlation 
D)  bivariate correlation 
E)  F-statistic 
A)  covariance correlation 
B)  inverse correlation 
C)  product moment correlation 
D)  bivariate correlation 
E)  F-statistic

Question 9

Regression analysis is concerned with the nature and degree of association between variables and does not imply or assume any causality.

Accepted Answer

A) True 
 B)False

Question 10

________ may be desirable because it is easier to compare the beta coefficients than it is to compare the raw coefficients.

Accepted Answer

A)  Covariance 
B)  Standardization 
C)  Correlation 
D)  Regression 
E)  Analysis of variance 
A)  Covariance 
B)  Standardization 
C)  Correlation 
D)  Regression 
E)  Analysis of variance

Question 11

A systematic relationship between two variables in which a change in one implies a corresponding change in the other is called covariance.

Accepted Answer

A) True 
 B)False

Question 12

To estimate the accuracy of predicted values, it is useful to calculate the ________.

Accepted Answer

A)  analysis of variance 
B)  correlation coefficient 
C)  standard error of estimate 
D)  residual 
E)  precision coefficient 
A)  analysis of variance 
B)  correlation coefficient 
C)  standard error of estimate 
D)  residual 
E)  precision coefficient

Question 13

When data are standardized, the intercept assumes a value of one.

Accepted Answer

A) True 
 B)False

Question 14

To standardize a variable, simply subtract the mean and divide the difference by the standard deviation.

Accepted Answer

A) True 
 B)False

Question 15

Significance testing involves testing the significance of the overall regression equation as well as specific partial regression coefficients.

Accepted Answer

A) True 
 B)False

Question 16

A statistic summarizing the strength of association between two metric variables is called the product moment correlation.

Accepted Answer

A) True 
 B)False

Question 17

The test statistic for evaluating the null hypothesis associated with the product moment correlation is the F-test.

Accepted Answer

A) True 
 B)False

Question 18

Questionnaire development is a step involved in conducting bivariate regression analysis.

Accepted Answer

A) True 
 B)False

Question 19

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

Accepted Answer

A) True 
 B)False

Question 20

In multiple regression, the strength of association is measured by the square of the multiple correlation coefficient, which is called the coefficient of multiple determination.

Accepted Answer

A) True 
 B)False

The non-standardized regression coefficient indicates the expected change in Y when X is changed by one unit.

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

The product moment correlation is also referred to as regression correlation.

________ derives a mathematical equation in the form of a straight line between a single metric criterion variable and a single metric predictor variable.

The strength of association is measured by the coefficient of determination.

All of the following about multiple regression are true EXCEPT:

The product moment correlation is also referred to as all of the following EXCEPT:

Which of the following statistics indicates the degree to which the variation in one variable, X, is related to the variation in another variable, Y?

Regression analysis is concerned with the nature and degree of association between variables and does not imply or assume any causality.

________ may be desirable because it is easier to compare the beta coefficients than it is to compare the raw coefficients.

A systematic relationship between two variables in which a change in one implies a corresponding change in the other is called covariance.

To estimate the accuracy of predicted values, it is useful to calculate the ________.

When data are standardized, the intercept assumes a value of one.

To standardize a variable, simply subtract the mean and divide the difference by the standard deviation.

Significance testing involves testing the significance of the overall regression equation as well as specific partial regression coefficients.

A statistic summarizing the strength of association between two metric variables is called the product moment correlation.

The test statistic for evaluating the null hypothesis associated with the product moment correlation is the F-test.

Questionnaire development is a step involved in conducting bivariate regression analysis.

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

In multiple regression, the strength of association is measured by the square of the multiple correlation coefficient, which is called the coefficient of multiple determination.

Introduction to Marketing Research

Defining the Marketing Research Problem and Developing an Approach

Research Design

Exploratory Research Design: Secondary Data

Exploratory Research Design: Syndicated Sources of 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 Collection

Data Preparation and Analysis Strategy

Frequency Distribution, Hypothesis Testing, and Cross-Tabulation

Hypothesis Testing Related to Differences

Report Preparation and Presentation

Filters

Exam 18: Correlation and Regression

The non-standardized regression coefficient indicates the expected change in Y when X is changed by one unit.

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

The product moment correlation is also referred to as regression correlation.

________ derives a mathematical equation in the form of a straight line between a single metric criterion variable and a single metric predictor variable.

The strength of association is measured by the coefficient of determination.

All of the following about multiple regression are true EXCEPT:

The product moment correlation is also referred to as all of the following EXCEPT:

Which of the following statistics indicates the degree to which the variation in one variable, X, is related to the variation in another variable, Y?

Regression analysis is concerned with the nature and degree of association between variables and does not imply or assume any causality.

________ may be desirable because it is easier to compare the beta coefficients than it is to compare the raw coefficients.

A systematic relationship between two variables in which a change in one implies a corresponding change in the other is called covariance.

To estimate the accuracy of predicted values, it is useful to calculate the ________.

When data are standardized, the intercept assumes a value of one.

To standardize a variable, simply subtract the mean and divide the difference by the standard deviation.

Significance testing involves testing the significance of the overall regression equation as well as specific partial regression coefficients.

A statistic summarizing the strength of association between two metric variables is called the product moment correlation.

The test statistic for evaluating the null hypothesis associated with the product moment correlation is the F-test.

Questionnaire development is a step involved in conducting bivariate regression analysis.

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

In multiple regression, the strength of association is measured by the square of the multiple correlation coefficient, which is called the coefficient of multiple determination.

Introduction to Marketing Research

Defining the Marketing Research Problem and Developing an Approach

Research Design

Exploratory Research Design: Secondary Data

Exploratory Research Design: Syndicated Sources of 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 Collection

Data Preparation and Analysis Strategy

Frequency Distribution, Hypothesis Testing, and Cross-Tabulation

Hypothesis Testing Related to Differences

Report Preparation and Presentation

Filters