Exam 18: Correlation and Regression

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A technique for fitting a straight line to a scattergram by minimizing the sum of the squares of the vertical distances of all the points from the line is called the ________.

(Multiple Choice)

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Question 41

The process by which the raw data are transformed into new variables that have a mean of 0 and a variance of 1 is called ________.

(Multiple Choice)

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Question 42

The final step involved in conducting bivariate analysis is significance testing.

(True/False)

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Question 43

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

(True/False)

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Question 44

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

(True/False)

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Question 45

In bivariate regression,the null hypothesis is that no linear relationship exists between X and Y,or H₀: β₁ = 0.

(True/False)

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Question 46

________ involves a single dependent variable and two or more independent variables.

(Multiple Choice)

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Question 47

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

(Multiple Choice)

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Question 48

________ is a statistical procedure for analyzing associative relationships between a metric dependent variable and one or more independent variables.

(Multiple Choice)

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Question 49

Given the multiple regression equation,Ŷ = a+b₁X₁+b₂X₂,and the bivariate equation Ŷ = a+bX₁,why is the partial regression coefficient,b₁,different from the regression coefficient,b,obtained by regressing Y on only X₁?

(Essay)

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Question 50

A statistic summarizing the strength of association between two metric variables is called the ________.

(Multiple Choice)

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Question 51

When r = 0,this means that X and Y are unrelated.

(True/False)

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Question 52

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

(Multiple Choice)

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Question 53

The distances for all the points from the regression line are squared and added together to arrive at the sum of the squared errors,which is a measure of total error.

(True/False)

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Question 54

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

(Multiple Choice)

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Question 55

The correlation coefficient between two variables will be the same regardless of their underlying units of measurement.

(True/False)

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Question 56

The final step involved in conducting bivariate analysis is ________.

(Multiple Choice)

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Question 57

The best fitting line on a scattergram is called the covariance.

(True/False)

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Question 58

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

(Multiple Choice)

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Question 59

The first step involved in conducting bivariate analysis is the development of a ________.

(Multiple Choice)

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Question 60

Showing 41 - 60 of 91

A technique for fitting a straight line to a scattergram by minimizing the sum of the squares of the vertical distances of all the points from the line is called the ________.

The process by which the raw data are transformed into new variables that have a mean of 0 and a variance of 1 is called ________.

The final step involved in conducting bivariate analysis is significance testing.

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

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

In bivariate regression,the null hypothesis is that no linear relationship exists between X and Y,or H₀: β₁ = 0.

________ involves a single dependent variable and two or more independent variables.

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

________ is a statistical procedure for analyzing associative relationships between a metric dependent variable and one or more independent variables.

Given the multiple regression equation,Ŷ = a+b₁X₁+b₂X₂,and the bivariate equation Ŷ = a+bX₁,why is the partial regression coefficient,b₁,different from the regression coefficient,b,obtained by regressing Y on only X₁?

A statistic summarizing the strength of association between two metric variables is called the ________.

When r = 0,this means that X and Y are unrelated.

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

The distances for all the points from the regression line are squared and added together to arrive at the sum of the squared errors,which is a measure of total error.

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

The correlation coefficient between two variables will be the same regardless of their underlying units of measurement.

The final step involved in conducting bivariate analysis is ________.

The best fitting line on a scattergram is called the covariance.

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

The first step involved in conducting bivariate analysis is the development of a ________.

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

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