Question 1

The expected frequencies perfectly embody the null hypothesis for chi-square analysis.

Accepted Answer

A) True 
 B)False

Question 2

The treatment of each independent variable in this manner conforms to the straightline assumptions of multiple regression analysis.This is sometimes known as additivity,because each new independent variable is added on to the regression equation.

Accepted Answer

A) True 
 B)False

Question 3

When a scale has "levels" as opposed to "labels" we can normally assume the level of measurement is:

Accepted Answer

A) metric 
B) in small increments 
C) categorical 
D) to scale 
E) average 
A) metric 
B) in small increments 
C) categorical 
D) to scale 
E) average

Question 4

In multiple regression,________ is a handy measure of the strength of the overall relationship.

Accepted Answer

A) adjusted R 
B) multiple R 
C) multicollinearity 
D) VIF 
E) PVS 
A) adjusted R 
B) multiple R 
C) multicollinearity 
D) VIF 
E) PVS

Question 5

In regression,the variable being predicted,b,is known as the dependent variable.

Accepted Answer

A) True 
 B)False

Question 6

You do not have a "relationship" that links the labels (or levels)for two variables unless the relationship is:

Accepted Answer

A) based upon effect 
B) consistent 
C) systematic 
D) both consistent and systematic 
E) based upon strength 
A) based upon effect 
B) consistent 
C) systematic 
D) both consistent and systematic 
E) based upon strength

Question 7

The formula holds that each cross-tabulation cell expected frequency be subtracted from its associated observed frequency,and then that difference be squared to avoid a cancellation effect of minus and plus differences.

Accepted Answer

A) True 
 B)False

Question 8

The stronger a relationship the:

Accepted Answer

A) larger the absolute size of the correlation coefficient 
B) larger the strength coefficient 
C) closer to zero is the correlation coefficient 
D) larger, positive size of the correlation coefficient 
E) larger the beta 
A) larger the absolute size of the correlation coefficient 
B) larger the strength coefficient 
C) closer to zero is the correlation coefficient 
D) larger, positive size of the correlation coefficient 
E) larger the beta

Question 9

In regression analysis,the statistical significance of the intercept and the slope are deemed significant if they are significantly different from:

Accepted Answer

A) their values on a previous test 
B) the least squares' criterion 
C) the most squares' criterion 
D) zero, the null hypothesis 
E) the .05 criterion 
A) their values on a previous test 
B) the least squares' criterion 
C) the most squares' criterion 
D) zero, the null hypothesis 
E) the .05 criterion

Question 10

Frequencies' tables,part of cross-tabulation,contain raw data.

Accepted Answer

A) True 
 B)False

Question 11

Assume you run a correlation analysis and your XL Data Analyst informs you that you have a significant relationship.What can you use to determine how strong the relationship is?

Accepted Answer

A) the strength coefficient, which ranges from 1 to 10, with 10 being the strongest 
B) the strength coefficient, which ranges from 1 to 5, with 5 being the strongest 
C) the size of the correlation coefficient 
D) the size of the beta 
E) none of the above; correlation is not measured in terms of strength 
A) the strength coefficient, which ranges from 1 to 10, with 10 being the strongest 
B) the strength coefficient, which ranges from 1 to 5, with 5 being the strongest 
C) the size of the correlation coefficient 
D) the size of the beta 
E) none of the above; correlation is not measured in terms of strength

Question 12

A frequencies table contains the raw counts for the cells based on the complete data set.

Accepted Answer

A) True 
 B)False

Question 13

Assume the regression equation is y=$75 + $25x and we are predicting the weekly grocery expenditures where x=number of family members.How much would a family of 4 spend on groceries per week?

Accepted Answer

A) $700 
B) $400 
C) $175 
D) $100 
E) $425 
A) $700 
B) $400 
C) $175 
D) $100 
E) $425

Question 14

Bivariate regression analysis is defined as a predictive analysis technique in which:

Accepted Answer

A) a pattern in one variable is identified over time and projected into the future 
B) a relationship between three variables that exists across time is observed to make a prediction 
C) one variable is used to predict the level of another variable 
D) two variables are used to predict two others by the use of a scatter diagram 
E) three or more variables variances are analyzed 
A) a pattern in one variable is identified over time and projected into the future 
B) a relationship between three variables that exists across time is observed to make a prediction 
C) one variable is used to predict the level of another variable 
D) two variables are used to predict two others by the use of a scatter diagram 
E) three or more variables variances are analyzed

Question 15

The straight-line formula for a linear relationship is y=a + bx.

Accepted Answer

A) True 
 B)False

Question 16

With cross-tabulation,two variables are arranged in a:

Accepted Answer

A) consistent and significant pattern 
B) cross-tabulation cell 
C) chi-square cell 
D) cross-tabulation table 
E) stacked bar table 
A) consistent and significant pattern 
B) cross-tabulation cell 
C) chi-square cell 
D) cross-tabulation table 
E) stacked bar table

Question 17

A ________ is defined as one that is scaled with a categorical 0-versus-1 coding scheme.

Accepted Answer

A) screening variable 
B) dummy independent variable 
C) standardized beta coefficient 
D) binary independent variable 
E) p value 
A) screening variable 
B) dummy independent variable 
C) standardized beta coefficient 
D) binary independent variable 
E) p value

Question 18

A predictive analysis technique in which variables are used to predict the level of another by use of the straight-line formula,y= a + bx is:

Accepted Answer

A) chi-square 
B) Pearson correlation 
C) digression analysis 
D) regression analysis 
E) summarization analysis 
A) chi-square 
B) Pearson correlation 
C) digression analysis 
D) regression analysis 
E) summarization analysis

Question 19

In a linear relationship formula,the intercept = b.

Accepted Answer

A) True 
 B)False

Question 20

The analytical technique that assesses the statistical significance of categorical variable relationships is regression analysis.

Accepted Answer

A) True 
 B)False

The expected frequencies perfectly embody the null hypothesis for chi-square analysis.

The treatment of each independent variable in this manner conforms to the straightline assumptions of multiple regression analysis.This is sometimes known as additivity,because each new independent variable is added on to the regression equation.

When a scale has "levels" as opposed to "labels" we can normally assume the level of measurement is:

In multiple regression,________ is a handy measure of the strength of the overall relationship.

In regression,the variable being predicted,b,is known as the dependent variable.

You do not have a "relationship" that links the labels (or levels)for two variables unless the relationship is:

The formula holds that each cross-tabulation cell expected frequency be subtracted from its associated observed frequency,and then that difference be squared to avoid a cancellation effect of minus and plus differences.

The stronger a relationship the:

In regression analysis,the statistical significance of the intercept and the slope are deemed significant if they are significantly different from:

Frequencies' tables,part of cross-tabulation,contain raw data.

Assume you run a correlation analysis and your XL Data Analyst informs you that you have a significant relationship.What can you use to determine how strong the relationship is?

A frequencies table contains the raw counts for the cells based on the complete data set.

Assume the regression equation is y=$75 + $25x and we are predicting the weekly grocery expenditures where x=number of family members.How much would a family of 4 spend on groceries per week?

Bivariate regression analysis is defined as a predictive analysis technique in which:

The straight-line formula for a linear relationship is y=a + bx.

With cross-tabulation,two variables are arranged in a:

A ________ is defined as one that is scaled with a categorical 0-versus-1 coding scheme.

A predictive analysis technique in which variables are used to predict the level of another by use of the straight-line formula,y= a + bx is:

In a linear relationship formula,the intercept = b.

The analytical technique that assesses the statistical significance of categorical variable relationships is regression analysis.

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

The expected frequencies perfectly embody the null hypothesis for chi-square analysis.

The treatment of each independent variable in this manner conforms to the straightline assumptions of multiple regression analysis.This is sometimes known as additivity,because each new independent variable is added on to the regression equation.

When a scale has "levels" as opposed to "labels" we can normally assume the level of measurement is:

In multiple regression,________ is a handy measure of the strength of the overall relationship.

In regression,the variable being predicted,b,is known as the dependent variable.

You do not have a "relationship" that links the labels (or levels)for two variables unless the relationship is:

The formula holds that each cross-tabulation cell expected frequency be subtracted from its associated observed frequency,and then that difference be squared to avoid a cancellation effect of minus and plus differences.

The stronger a relationship the:

In regression analysis,the statistical significance of the intercept and the slope are deemed significant if they are significantly different from:

Frequencies' tables,part of cross-tabulation,contain raw data.

Assume you run a correlation analysis and your XL Data Analyst informs you that you have a significant relationship.What can you use to determine how strong the relationship is?

A frequencies table contains the raw counts for the cells based on the complete data set.

Assume the regression equation is y=$75 + $25x and we are predicting the weekly grocery expenditures where x=number of family members.How much would a family of 4 spend on groceries per week?

Bivariate regression analysis is defined as a predictive analysis technique in which:

The straight-line formula for a linear relationship is y=a + bx.

With cross-tabulation,two variables are arranged in a:

A ________ is defined as one that is scaled with a categorical 0-versus-1 coding scheme.

A predictive analysis technique in which variables are used to predict the level of another by use of the straight-line formula,y= a + bx is:

In a linear relationship formula,the intercept = b.

The analytical technique that assesses the statistical significance of categorical variable relationships is regression analysis.

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