Question 1

One way to study the relationship between the dependent and independent variable is to plot the data in a scatter diagram.

Accepted Answer

A) True 
 B)False

Question 2

A scatter plot compares actual data to a predicted relationship between 2 variables.

Accepted Answer

A) True 
 B)False

Question 3

The R2 statistic ranges from -1 to 1.

Accepted Answer

A) True 
 B)False

Question 4

____________ is the mathematical technique for fitting a line that best describes the relationship between two variables.

Accepted Answer

A) Pearson's product-moment correlation 
B) Least squares procedure 
C) Chi-square test 
D) Significance test 
E) none of the above 
A) Pearson's product-moment correlation 
B) Least squares procedure 
C) Chi-square test 
D) Significance test 
E) none of the above

Question 5

Interpret the correlation coefficient for the following data:
Sales Sales Training Score
45,000 98
34,500 74
23,750 57
51,450 99
41,000 85
The resulting correlation coefficient is +.98 and the probability of insignificance is 3%.

Accepted Answer

There is a strong positive cor

Question 6

Bivariate statistical techniques are often used to establish cause and effect relationships between two or more variables.

Accepted Answer

A) True 
 B)False

Question 7

An RS1U1P12S1S1P0of 0 indicates no relationship between variables.

Accepted Answer

A) True 
 B)False

Question 8

In regression,the unexplained variation is referred to as error sum of squares (SSE).

Accepted Answer

A) True 
 B)False

Question 9

The least squares estimation procedure often results in a perfectly straight line.

Accepted Answer

A) True 
 B)False

Question 10

___________ are statistical methods of analyzing the relationship between two variables.

Accepted Answer

A) Bivariate techniques 
B) Univariate techniques 
C) Multivariate techniques 
D) None of the above 
A) Bivariate techniques 
B) Univariate techniques 
C) Multivariate techniques 
D) None of the above

Question 11

When the value of one variable increases at exactly the same rate as another variable decreases,this is said to be a ___________________relationship.

Accepted Answer

A) strong positive linear 
B) positive linear 
C) perfect negative linear 
D) parabolic 
E) none of the above 
A) strong positive linear 
B) positive linear 
C) perfect negative linear 
D) parabolic 
E) none of the above

Question 12

How would you interpret the relationship between Education and Age?

Accepted Answer

The relationship between EDUCATION and A

Question 13

_______________ refers to analysis is one of strength of the linear relationship between two variables when one is considered the independent variable and the other the dependent variable

Accepted Answer

A) Multivariate regression 
B) Univariate regression 
C) Bivariate regression 
D) None of the above 
A) Multivariate regression 
B) Univariate regression 
C) Bivariate regression 
D) None of the above

Question 14

Research on fear appeal in advertising suggests that a moderate amount of fear is most effective at achieving persuasion.That is,using not enough fear or too much fear in advertising will not be effective.This is an example of what type of relationship that regression might find?

Accepted Answer

A) positive linear 
B) negative linear 
C) curvilinear 
D) no relationship 
E) none of the above 
A) positive linear 
B) negative linear 
C) curvilinear 
D) no relationship 
E) none of the above

Question 15

Bivariate regression looks at the relationship between many variables.

Accepted Answer

A) True 
 B)False

Question 16

The percentage of total variation in the dependent variable that is described by the independent variable is expressed by_________.

Accepted Answer

A) coefficient of determination 
B) correlation coefficient 
C) coefficient of covariation 
D) regression coefficient 
E) none of the above 
A) coefficient of determination 
B) correlation coefficient 
C) coefficient of covariation 
D) regression coefficient 
E) none of the above

Question 17

In bivariate regression,both the independent and dependent variables are measured in the form of nominal and/or ordinal data.

Accepted Answer

A) True 
 B)False

Question 18

Which of the following is the appropriate technique for correlation analysis,which involves metric (interval or ratio)data?

Accepted Answer

A) Spearman's rank-order correlation 
B) Jensen's analysis of covariance 
C) Kendall's coefficient of concordance 
D) Pearson's product-moment correlation 
E) none of the above 
A) Spearman's rank-order correlation 
B) Jensen's analysis of covariance 
C) Kendall's coefficient of concordance 
D) Pearson's product-moment correlation 
E) none of the above

Question 19

The explained variation by the regression is referred to as the:

Accepted Answer

A) total variation. 
B) bivariate. 
C) sum of squares due to regression . 
D) none of the above 
A) total variation. 
B) bivariate. 
C) sum of squares due to regression . 
D) none of the above

Question 20

The coefficient of determination is used in correlation analysis.

Accepted Answer

A) True 
 B)False

Exam 17: A: Bivariate Correlation and Regression

One way to study the relationship between the dependent and independent variable is to plot the data in a scatter diagram.

A scatter plot compares actual data to a predicted relationship between 2 variables.

The R2 statistic ranges from -1 to 1.

____________ is the mathematical technique for fitting a line that best describes the relationship between two variables.

Interpret the correlation coefficient for the following data: Sales Sales Training Score 45,000 98 34,500 74 23,750 57 51,450 99 41,000 85 The resulting correlation coefficient is +.98 and the probability of insignificance is 3%.

Bivariate statistical techniques are often used to establish cause and effect relationships between two or more variables.

An R2of 0 indicates no relationship between variables.

In regression,the unexplained variation is referred to as error sum of squares (SSE).

The least squares estimation procedure often results in a perfectly straight line.

___________ are statistical methods of analyzing the relationship between two variables.

When the value of one variable increases at exactly the same rate as another variable decreases,this is said to be a ___________________relationship.

How would you interpret the relationship between Education and Age?

_______________ refers to analysis is one of strength of the linear relationship between two variables when one is considered the independent variable and the other the dependent variable

Research on fear appeal in advertising suggests that a moderate amount of fear is most effective at achieving persuasion.That is,using not enough fear or too much fear in advertising will not be effective.This is an example of what type of relationship that regression might find?

Bivariate regression looks at the relationship between many variables.

The percentage of total variation in the dependent variable that is described by the independent variable is expressed by_________.

In bivariate regression,both the independent and dependent variables are measured in the form of nominal and/or ordinal data.

Which of the following is the appropriate technique for correlation analysis,which involves metric (interval or ratio)data?

The explained variation by the regression is referred to as the:

The coefficient of determination is used in correlation analysis.

The Role of Marketing Research in Management Decision Making

A: The Role of Marketing Research in Management Decision Making

The Marketing Research Industry and Research Ethics

A: The Marketing Research Industry and Research Ethics

Problem Definition,exploratory Research,and the Research Process

A: Problem Definition and the Research Process

Secondary Data and Databases

A: Secondary Data and Databases

Qualitative Research

A: Qualitative Research

Traditional Survey Research

A: Traditional Survey Research

Online Marketing Research

A: Online Marketing Research

Primary Data Collection: Observation

A: Primary Data Collection: Observation

Primary Data Collection: Experimentation and Test Markets

A: Primary Data Collection: Experimentation and Test Markets

The Concept of Measurement

A: The Concept of Measurement

Using Measurement Scales to Build Marketing Effectiveness

A: Using Measurement Scales to Build Marketing Effectiveness

Questionnaire Design

A: Questionnaire Design

Basic Sampling Issues

A: Basic Sampling Issues

Sample Size Determination

A: Sample Size Determination

Data Processing and Fundamental Data Analysis

A: Data Processing and Fundamental Data Analysis

Statistical Testing of Differences and Relationships

A: Statistical Testing of Differences and Relationships

Bivariate Correlation and Regression

Multivariate Data Analysis

A: Multivariate Data Analysis

Communicating the Research Results

A: Communicating the Research Results

Managing Marketing Research

A: Managing Marketing Research

Filters

The R²statistic ranges from -1 to 1.

An R²of 0 indicates no relationship between variables.