Question 1

Which of the following is NOT one of the items to report when regression is used as a screening device or for understanding?

Accepted Answer

A) dependent variable 
B) statistically significant independent variables 
C) signs of beta coefficients 
D) standardized beta coefficients for the significant variables 
E) dummy coded variable 
A) dependent variable 
B) statistically significant independent variables 
C) signs of beta coefficients 
D) standardized beta coefficients for the significant variables 
E) dummy coded variable A

Question 2

What Greek symbol denotes the true intercept in regression analysis?

Accepted Answer

A)  β 
B) α 
C) π 
D) Σ 
E) Ω 
A)  β 
B) α 
C) π 
D) Σ 
E) Ω B

Question 3

The null hypothesis for a correlation states that:

Accepted Answer

A) the population correlation coefficient is equal to zero. 
B) the population correlation coefficient is +1. 
C) the population correlation coefficient is -1 
D) the population correlation coefficient is ±1. 
E) the population correlation coefficient is positive. 
A) the population correlation coefficient is equal to zero. 
B) the population correlation coefficient is +1. 
C) the population correlation coefficient is -1 
D) the population correlation coefficient is ±1. 
E) the population correlation coefficient is positive. A

Question 4

In regression,the variable being predicted,x,is known as the dependant variable.

Accepted Answer

A) True 
 B)False

Question 5

A correlation coefficient is an index number constrained to fall between the range of:

Accepted Answer

A) 0 to 1.00 
B) 0 to 100 
C) -1.00 to +1.00 
D) .05 to .95 
E) none of the above; it is not constrained 
A) 0 to 1.00 
B) 0 to 100 
C) -1.00 to +1.00 
D) .05 to .95 
E) none of the above; it is not constrained

Question 6

When it comes to determining the strength of a statistically significant correlation coefficient,there are rules of thumb.For example,.81 to 1.00 is considered "weak."

Accepted Answer

A) True 
 B)False

Question 7

What is the name of the statistical procedure to determine if a systematic linear relationship exists between two metric-scaled variables?

Accepted Answer

A) chi-square 
B) correlation coefficient 
C) Pearson chi-square 
D) Pearson Product Moment Correlation Coefficient 
E) Pearson Beta coefficient 
A) chi-square 
B) correlation coefficient 
C) Pearson chi-square 
D) Pearson Product Moment Correlation Coefficient 
E) Pearson Beta coefficient

Question 8

Correlation coefficients that fall between -1.00 and -.81 or between -1.00 and -.81 are generally considered to be:

Accepted Answer

A) weak 
B) moderate 
C) strong 
D) nonexistent 
E) very weak 
A) weak 
B) moderate 
C) strong 
D) nonexistent 
E) very weak

Question 9

Relationship analyses determine whether:

Accepted Answer

A) stable patterns exist between two or more variables 
B) significant differences exist between two or more variables 
C) stable generalizations exist between 12 or more variables 
D) two variables have the same level of measurement 
E) none of the above; relationships occur between clients and researchers 
A) stable patterns exist between two or more variables 
B) significant differences exist between two or more variables 
C) stable generalizations exist between 12 or more variables 
D) two variables have the same level of measurement 
E) none of the above; relationships occur between clients and researchers

Question 10

The Pearson product moment correlation measures the linear relationship between two categorical-scaled variables.

Accepted Answer

A) True 
 B)False

Question 11

________ is defined as the amount of change in one variable systematically associated with a change in another variable.

Accepted Answer

A) Correspondence 
B) Covariation 
C) Covariable change analysis 
D) An alpha relationship 
E) A beta relationship 
A) Correspondence 
B) Covariation 
C) Covariable change analysis 
D) An alpha relationship 
E) A beta relationship

Question 12

In the formula for a straight line,the b stands for the ________.

Accepted Answer

A) intercept 
B) dependent variable 
C) independent variable 
D) slope 
E) predicted variable 
A) intercept 
B) dependent variable 
C) independent variable 
D) slope 
E) predicted variable

Question 13

What is the intersection cell for the Row Totals column and the Column Totals row in a cross-tabulation table called?

Accepted Answer

A) the Row and Column Totals Cell 
B) the Grand Total 
C) the Total cell 
D) the Grand Column 
E) none of the above; rows and columns do not intersect 
A) the Row and Column Totals Cell 
B) the Grand Total 
C) the Total cell 
D) the Grand Column 
E) none of the above; rows and columns do not intersect

Question 14

A table that contains the raw counts of various relationships possible in a cross-tabulation is called:

Accepted Answer

A) a frequencies table 
B) a possibility table 
C) a Boolean possibility table 
D) a frequent Boolean possibility table 
E) a stacked bar table 
A) a frequencies table 
B) a possibility table 
C) a Boolean possibility table 
D) a frequent Boolean possibility table 
E) a stacked bar table

Question 15

In the chi-square test,for a significant relationship to exist:

Accepted Answer

A) the computed expected frequencies should exceed the critical chi-square table value 
B) the chi-square value should exceed 1.96 
C) there should be no differences between the observed and expected frequencies 
D) the calculated chi-square value should exceed the critical chi-square table value 
E) the chi-square value must be greater than .05 
A) the computed expected frequencies should exceed the critical chi-square table value 
B) the chi-square value should exceed 1.96 
C) there should be no differences between the observed and expected frequencies 
D) the calculated chi-square value should exceed the critical chi-square table value 
E) the chi-square value must be greater than .05

Question 16

Chi-square analysis can determine if there is a significant relationship between two categorical variables.

Accepted Answer

A) True 
 B)False

Question 17

Which type of relationship is a "straight-line" relationship between two variables which allows us to know one variable if we have knowledge of the other?

Accepted Answer

A) causal relationship 
B) linear relationship 
C) categorical relationship 
D) Boolean relationship 
E) a beta relationship 
A) causal relationship 
B) linear relationship 
C) categorical relationship 
D) Boolean relationship 
E) a beta relationship

Question 18

Multiple regression is used only for purposes of prediction.

Accepted Answer

A) True 
 B)False

Question 19

Multiple R is also called the ________.

Accepted Answer

A) PVS 
B) MR 
C) coefficient of determination 
D) standardized beta coefficient 
E) p value 
A) PVS 
B) MR 
C) coefficient of determination 
D) standardized beta coefficient 
E) p value

Question 20

The chi-square test is useful for determining:

Accepted Answer

A) if a relationship exists between three categorical variables 
B) if a relationship exists between two metric variables 
C) if a relationship exists between two categorical variables 
D) if a duotonic relationship exists between two variables 
E) if a beta is present in the relationship 
A) if a relationship exists between three categorical variables 
B) if a relationship exists between two metric variables 
C) if a relationship exists between two categorical variables 
D) if a duotonic relationship exists between two variables 
E) if a beta is present in the relationship

Which of the following is NOT one of the items to report when regression is used as a screening device or for understanding?

What Greek symbol denotes the true intercept in regression analysis?

The null hypothesis for a correlation states that:

In regression,the variable being predicted,x,is known as the dependant variable.

A correlation coefficient is an index number constrained to fall between the range of:

When it comes to determining the strength of a statistically significant correlation coefficient,there are rules of thumb.For example,.81 to 1.00 is considered "weak."

What is the name of the statistical procedure to determine if a systematic linear relationship exists between two metric-scaled variables?

Correlation coefficients that fall between -1.00 and -.81 or between -1.00 and -.81 are generally considered to be:

Relationship analyses determine whether:

The Pearson product moment correlation measures the linear relationship between two categorical-scaled variables.

________ is defined as the amount of change in one variable systematically associated with a change in another variable.

In the formula for a straight line,the b stands for the ________.

What is the intersection cell for the Row Totals column and the Column Totals row in a cross-tabulation table called?

A table that contains the raw counts of various relationships possible in a cross-tabulation is called:

In the chi-square test,for a significant relationship to exist:

Chi-square analysis can determine if there is a significant relationship between two categorical variables.

Which type of relationship is a "straight-line" relationship between two variables which allows us to know one variable if we have knowledge of the other?

Multiple regression is used only for purposes of prediction.

Multiple R is also called the ________.

The chi-square test is useful for determining:

An Introduction to Marketing Research

The Marketing Research Industry

The Marketing Research Process Including the Problem and Research Objectives

Research Design Alternatives and Qualitative Research

Information Types and Sources: Secondary Data and Standardized Information

Data Collection Methods

Measurement Scales

Designing Data Collection Forms

Determining Sample Size and the Sample Plan

Data Issues and Inputting Data Into Xl Data Analyst

Summarizing Your Data

Generalizing Your Findings

Finding Differences

Preparing and Presenting Your Research Report

Filters

Exam 14: Determining Relationships

Which of the following is NOT one of the items to report when regression is used as a screening device or for understanding?

What Greek symbol denotes the true intercept in regression analysis?

The null hypothesis for a correlation states that:

In regression,the variable being predicted,x,is known as the dependant variable.

A correlation coefficient is an index number constrained to fall between the range of:

When it comes to determining the strength of a statistically significant correlation coefficient,there are rules of thumb.For example,.81 to 1.00 is considered "weak."

What is the name of the statistical procedure to determine if a systematic linear relationship exists between two metric-scaled variables?

Correlation coefficients that fall between -1.00 and -.81 or between -1.00 and -.81 are generally considered to be:

Relationship analyses determine whether:

The Pearson product moment correlation measures the linear relationship between two categorical-scaled variables.

________ is defined as the amount of change in one variable systematically associated with a change in another variable.

In the formula for a straight line,the b stands for the ________.

What is the intersection cell for the Row Totals column and the Column Totals row in a cross-tabulation table called?

A table that contains the raw counts of various relationships possible in a cross-tabulation is called:

In the chi-square test,for a significant relationship to exist:

Chi-square analysis can determine if there is a significant relationship between two categorical variables.

Which type of relationship is a "straight-line" relationship between two variables which allows us to know one variable if we have knowledge of the other?

Multiple regression is used only for purposes of prediction.

Multiple R is also called the ________.

The chi-square test is useful for determining:

An Introduction to Marketing Research

The Marketing Research Industry

The Marketing Research Process Including the Problem and Research Objectives

Research Design Alternatives and Qualitative Research

Information Types and Sources: Secondary Data and Standardized Information

Data Collection Methods

Measurement Scales

Designing Data Collection Forms

Determining Sample Size and the Sample Plan

Data Issues and Inputting Data Into Xl Data Analyst

Summarizing Your Data

Generalizing Your Findings

Finding Differences

Preparing and Presenting Your Research Report

Filters