Question 1

When performing cross tabulations,percentages are always calculated in the direction of the

Accepted Answer

A) dependent variable. 
B) independent variable. 
C) causal variable. 
D) dependent and causal variables. 
E) independent and causal variables. 
A) dependent variable. 
B) independent variable. 
C) causal variable. 
D) dependent and causal variables. 
E) independent and causal variables. E

Question 2

Carters,a marketer of children apparel,knows that as girls increase in age,their dress size tends to get larger.This is an example of a causal type of relationship.

Accepted Answer

A) True 
 B)False  False

Question 3

In multiple regression analysis,t tests are used to test for the statistical significance of betas.If a beta is insignificant,it means that its respective independent variable plays no meaningful role in predicting the dependent variable,and the independent variable should be "removed" from the model.

Accepted Answer

A) True 
 B)False  True

Question 4

Which statistical technique should you use when you are attempting to answer the question: "Is there a significant relationship between the customers' disposable income (measured in dollars)and their repeat-buying behavior (measured by the number of rebuys in a twelve-month period)?"

Accepted Answer

A) Multiple regression analysis 
B) Chi-Square test 
C) Simple regression analysis 
D) Pearson correlation coefficient 
E) None of these are correct. 
A) Multiple regression analysis 
B) Chi-Square test 
C) Simple regression analysis 
D) Pearson correlation coefficient 
E) None of these are correct.

Question 5

Multiple regression analysis is useful when there are ____ independent variable(s)and ____ dependent variable(s).

Accepted Answer

A) more than one,one 
B) one,more than one 
C) more than one,more than one 
D) one,one 
E) None of these are correct. 
A) more than one,one 
B) one,more than one 
C) more than one,more than one 
D) one,one 
E) None of these are correct.

Question 6

All other variables held constant,a 95% confidence interval will give us a narrower range than will a 99% confidence interval.

Accepted Answer

A) True 
 B)False

Question 7

To determine the degree to which the variables in a cross-tabulation analysis are independent of one another,a researcher should use

Accepted Answer

A) a cross tabulation variable independence test. 
B) the Pearson chi-square test of independence. 
C) regression analysis. 
D) Cramer's V. 
E) Kendall's coefficient of concordance. 
A) a cross tabulation variable independence test. 
B) the Pearson chi-square test of independence. 
C) regression analysis. 
D) Cramer's V. 
E) Kendall's coefficient of concordance.

Question 8

What should be done before trying to interpret individual regression coefficients?

Accepted Answer

A) See whether there is an overall statistically significant relationship between the set of predictors and the outcome variable. 
B) Verify that the set of predictors can explain a meaningful portion of the variation in the outcome variable. 
C) Calculate the coefficient of multiple determination,or coefficient of determination,whichever is appropriate. 
D) All of these are correct. 
E) None of these are correct. 
A) See whether there is an overall statistically significant relationship between the set of predictors and the outcome variable. 
B) Verify that the set of predictors can explain a meaningful portion of the variation in the outcome variable. 
C) Calculate the coefficient of multiple determination,or coefficient of determination,whichever is appropriate. 
D) All of these are correct. 
E) None of these are correct.

Question 9

When a computed z-value (for a test for differences between two percentages),say 4.51,is larger than the standard z-value,say 1.96,then this amounts to

Accepted Answer

A) support for the null hypothesis;the two percentages are different. 
B) no support for the null hypothesis;the two percentages are not different. 
C) support for the null hypothesis;the two percentages is not different. 
D) no support for the null hypothesis;the two percentages are different. 
E) None of these are correct. 
A) support for the null hypothesis;the two percentages are different. 
B) no support for the null hypothesis;the two percentages are not different. 
C) support for the null hypothesis;the two percentages is not different. 
D) no support for the null hypothesis;the two percentages are different. 
E) None of these are correct.

Question 10

Which of the following is a technique that measures the association between a criterion variable and one or more independent variables?

Accepted Answer

A) Correlation analysis 
B) Analysis of variance 
C) Regression analysis 
D) z-test 
E) F-test 
A) Correlation analysis 
B) Analysis of variance 
C) Regression analysis 
D) z-test 
E) F-test

Question 11

Multiple regression is used to derive an equation that relates a single continuous dependent variable to two or more independent variables.

Accepted Answer

A) True 
 B)False

Question 12

A gum manufacturer wants to determine whether blue packaging or red packaging is preferred.The company performs a sales test by introducing red packages into a random sample of ten stores,and blue packages are introduced in an independent,random sample of ten stores.The technique most appropriate for analyzing the data is

Accepted Answer

A) a paired sample t-test for means. 
B) the Spearman rank-order correlation analysis. 
C) regression analysis. 
D) an independent samples t-test for means. 
E) correlation analysis. 
A) a paired sample t-test for means. 
B) the Spearman rank-order correlation analysis. 
C) regression analysis. 
D) an independent samples t-test for means. 
E) correlation analysis.

Question 13

Correlation analysis,along with other mathematical procedures,can be used to establish causality.

Accepted Answer

A) True 
 B)False

Question 14

If you have a significant and very strong (e.g.,> 0.90)correlation coefficient,you may assume there is a causal relationship between the two variables.

Accepted Answer

A) True 
 B)False

Question 15

The independent samples t-test for means always compares mean scores for the same variable measured in two groups.

Accepted Answer

A) True 
 B)False

Question 16

While the chi-square test indicates whether two variables are independent,it doesn't measure the strength of association when they are dependent.

Accepted Answer

A) True 
 B)False

Question 17

If a researcher were to take ten Asian countries where per capita income and automobile ownership by per capita were known,trying to find the overall picture of market size for the market could probably be done by using which of the following methods?

Accepted Answer

A) Analogy method 
B) Latin square 
C) Trade audit 
D) Chain ratio method 
E) Regression analysis 
A) Analogy method 
B) Latin square 
C) Trade audit 
D) Chain ratio method 
E) Regression analysis

Question 18

Regression coefficients represent the average change in the outcome variable per unit change in the associated predictor variable,holding all other predictor variables constant.

Accepted Answer

A) True 
 B)False

Question 19

A statistic used to measure the strength of relationship between categorical variables is called a regression analysis.

Accepted Answer

A) True 
 B)False

Question 20

The error term in the regression model represents all factors that determine the criterion variables that are not part of the model.

Accepted Answer

A) True 
 B)False

When performing cross tabulations,percentages are always calculated in the direction of the

Carters,a marketer of children apparel,knows that as girls increase in age,their dress size tends to get larger.This is an example of a causal type of relationship.

Which statistical technique should you use when you are attempting to answer the question: "Is there a significant relationship between the customers' disposable income (measured in dollars)and their repeat-buying behavior (measured by the number of rebuys in a twelve-month period)?"

Multiple regression analysis is useful when there are independent variable(s)and dependent variable(s).

All other variables held constant,a 95% confidence interval will give us a narrower range than will a 99% confidence interval.

To determine the degree to which the variables in a cross-tabulation analysis are independent of one another,a researcher should use

What should be done before trying to interpret individual regression coefficients?

When a computed z-value (for a test for differences between two percentages),say 4.51,is larger than the standard z-value,say 1.96,then this amounts to

Which of the following is a technique that measures the association between a criterion variable and one or more independent variables?

Multiple regression is used to derive an equation that relates a single continuous dependent variable to two or more independent variables.

Correlation analysis,along with other mathematical procedures,can be used to establish causality.

If you have a significant and very strong (e.g.,> 0.90)correlation coefficient,you may assume there is a causal relationship between the two variables.

The independent samples t-test for means always compares mean scores for the same variable measured in two groups.

While the chi-square test indicates whether two variables are independent,it doesn't measure the strength of association when they are dependent.

If a researcher were to take ten Asian countries where per capita income and automobile ownership by per capita were known,trying to find the overall picture of market size for the market could probably be done by using which of the following methods?

Regression coefficients represent the average change in the outcome variable per unit change in the associated predictor variable,holding all other predictor variables constant.

A statistic used to measure the strength of relationship between categorical variables is called a regression analysis.

The error term in the regression model represents all factors that determine the criterion variables that are not part of the model.

The Role of Marketing Research

The Research Process and Ethical Concerns

Problem Formulation

Exploratory Research

Decision Support Systems: Introduction

Decision Support Systems: Working With Big Data

Using External Secondary Data

Conducting Causal Research

Collecting Descriptive Primary Data

Collecting Data by Observation

Collecting Data by Communication

Asking Good Questions

Designing the Data Collection Form for Communication Data

Developing the Sampling Plan

Data Collection: Types of Error and Response Rate Calculation

Data Preparation for Analysis

Analysis and Interpretation: Individual Variables Independently

The Oral Research Presentation

The Written Research Report

Filters

Exam 18: Analysis and Interpretation: Multiple Variables Simultaneously

When performing cross tabulations,percentages are always calculated in the direction of the

Carters,a marketer of children apparel,knows that as girls increase in age,their dress size tends to get larger.This is an example of a causal type of relationship.

Which statistical technique should you use when you are attempting to answer the question: "Is there a significant relationship between the customers' disposable income (measured in dollars)and their repeat-buying behavior (measured by the number of rebuys in a twelve-month period)?"

Multiple regression analysis is useful when there are ____ independent variable(s)and ____ dependent variable(s).

All other variables held constant,a 95% confidence interval will give us a narrower range than will a 99% confidence interval.

To determine the degree to which the variables in a cross-tabulation analysis are independent of one another,a researcher should use

What should be done before trying to interpret individual regression coefficients?

When a computed z-value (for a test for differences between two percentages),say 4.51,is larger than the standard z-value,say 1.96,then this amounts to

Which of the following is a technique that measures the association between a criterion variable and one or more independent variables?

Multiple regression is used to derive an equation that relates a single continuous dependent variable to two or more independent variables.

Correlation analysis,along with other mathematical procedures,can be used to establish causality.

If you have a significant and very strong (e.g.,> 0.90)correlation coefficient,you may assume there is a causal relationship between the two variables.

The independent samples t-test for means always compares mean scores for the same variable measured in two groups.

While the chi-square test indicates whether two variables are independent,it doesn't measure the strength of association when they are dependent.

If a researcher were to take ten Asian countries where per capita income and automobile ownership by per capita were known,trying to find the overall picture of market size for the market could probably be done by using which of the following methods?

Regression coefficients represent the average change in the outcome variable per unit change in the associated predictor variable,holding all other predictor variables constant.

A statistic used to measure the strength of relationship between categorical variables is called a regression analysis.

The error term in the regression model represents all factors that determine the criterion variables that are not part of the model.

The Role of Marketing Research

The Research Process and Ethical Concerns

Problem Formulation

Exploratory Research

Decision Support Systems: Introduction

Decision Support Systems: Working With Big Data

Using External Secondary Data

Conducting Causal Research

Collecting Descriptive Primary Data

Collecting Data by Observation

Collecting Data by Communication

Asking Good Questions

Designing the Data Collection Form for Communication Data

Developing the Sampling Plan

Data Collection: Types of Error and Response Rate Calculation

Data Preparation for Analysis

Analysis and Interpretation: Individual Variables Independently

The Oral Research Presentation

The Written Research Report

Filters

Multiple regression analysis is useful when there are independent variable(s)and dependent variable(s).