Exam 15: Understanding Regression Analysis Basics

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In evaluating your bivariate regression analysis findings,you first determine whether or not a linear relationship between the independent and dependent variable exists in the population.Which of the following best describes what you are doing in this step?

(Multiple Choice)

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Question 81

Researchers applied multiple regression analysis to study mobile phone service in Thailand,using overall satisfaction as the dependent variable.Standardized betas for independent variables were calculated.Of those listed below,which is the most important factor for a Thai mobile phone company trying to increase its competitiveness?

(Multiple Choice)

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Question 82

Which sequence of SPSS commands would you select in order to run stepwise multiple regression?

(Multiple Choice)

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Question 83

A predictive model is an approach to prediction that:

(Multiple Choice)

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Question 84

In multiple regression,you must test for the significance of the betas for each of the independent variables.You would do this by looking for:

(Multiple Choice)

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Question 85

In multiple regression analysis,we are trying to predict an independent variable using more than two dependent variables.

(True/False)

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Question 86

In bivariate regression,we can calculate an upper and lower range within which we could expect the values of the independent values to fall if they were calculated.

(True/False)

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Question 87

When the statistic used to determine whether or not multicollinearity is a concern in multiple regression is greater than ________,it is prudent to remove that variable and rerun the regression.

(Multiple Choice)

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Question 88

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In evaluating your bivariate regression analysis findings,you first determine whether or not a linear relationship between the independent and dependent variable exists in the population.Which of the following best describes what you are doing in this step?

Which sequence of SPSS commands would you select in order to run stepwise multiple regression?

A predictive model is an approach to prediction that:

In multiple regression,you must test for the significance of the betas for each of the independent variables.You would do this by looking for:

In multiple regression analysis,we are trying to predict an independent variable using more than two dependent variables.

In bivariate regression,we can calculate an upper and lower range within which we could expect the values of the independent values to fall if they were calculated.

When the statistic used to determine whether or not multicollinearity is a concern in multiple regression is greater than ________,it is prudent to remove that variable and rerun the regression.

Introduction to Marketing Research

The Marketing Research Industry

The Marketing Research Process Defining the Problem and Research Objectives

Research Design

Secondary Data Packaged Information

Utilizing Exploratory and Qualitative Research Techniques

Evaluating Survey Data Collection Methods

Understanding Measurement, developing Questions, and Designing the Questionnaire

Selecting the Sample

Determining the Size of a Sample

Dealing With Fieldwork and Data Quality

Using Basic Descriptive Analysis, performing Population Estimates, and Testing Hypotheses

Implementing Basic Differences Tests

Making Use of Associations Tests

Writing the Research Report

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