Question 1

The key to establishing a Boolean relationship between two variables is determining if one is present (or absent) when the other is present (or absent).

Accepted Answer

A) True 
 B)False

Question 2

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

Accepted Answer

A)  causal and consistent. 
B)  consistent and systematic. 
C)  systematic and causal. 
D)  systematic and important. 
E)  consistent and important. 
A)  causal and consistent. 
B)  consistent and systematic. 
C)  systematic and causal. 
D)  systematic and important. 
E)  consistent and important.

Question 3

A correlation coefficient is an index number falling between the range of:

Accepted Answer

A)  0 and +1.0 
B)  0 and +100 
C)  -1.0 and +1.0 
D)  -1.0 and 0 
E)  -100 and 0 
A)  0 and +1.0 
B)  0 and +100 
C)  -1.0 and +1.0 
D)  -1.0 and 0 
E)  -100 and 0

Question 4

Chi-square analysis always begins with the assumption that no association exists between the two categorical variables under analysis.

Accepted Answer

A) True 
 B)False

Question 5

What are the three uses of multiple regression analysis?

Accepted Answer

A)  determination, prediction, and evaluation 
B)  determination, evaluation, and screening 
C)  prediction, understanding, and screening 
D)  prediction, clarification, and evaluation 
E)  summarizing, predicting, and evaluating 
A)  determination, prediction, and evaluation 
B)  determination, evaluation, and screening 
C)  prediction, understanding, and screening 
D)  prediction, clarification, and evaluation 
E)  summarizing, predicting, and evaluating

Question 6

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.

Accepted Answer

A) True 
 B)False

Question 7

Significant association relationships are always causal.

Accepted Answer

A) True 
 B)False

Question 8

If we determine a precise linear relationship between two variables, then by knowing the value of one variable we should be able to predict the other variable.

Accepted Answer

A) True 
 B)False

Question 9

One of the assumptions of regression analysis is that the plots on the scatter diagram will be spread uniformly and in accordance with the normal curve assumptions over the regression line.

Accepted Answer

A) True 
 B)False

Question 10

A Boolean relationship is one in which the presence of one variable's label is systematically related to the:

Accepted Answer

A)  nonpresence of a regressive relationship. 
B)  presence of another variable's label. 
C)  presence or amount of the same variable. 
D)  covariance of the other variable. 
E)  presence of unobservable variables. 
A)  nonpresence of a regressive relationship. 
B)  presence of another variable's label. 
C)  presence or amount of the same variable. 
D)  covariance of the other variable. 
E)  presence of unobservable variables.

Question 11

A consistent and systematic linkage between the levels or labels for two variables is called a(n):

Accepted Answer

A)  Boolean. 
B)  relationship. 
C)  practically significant. 
D)  important. 
E)  relevant. 
A)  Boolean. 
B)  relationship. 
C)  practically significant. 
D)  important. 
E)  relevant.

Question 12

The logic of the chi-square test would argue that, for a significant relationship to exist:

Accepted Answer

A)  there should be large differences between the observed and expected frequencies. 
B)  there should be small differences between the observed and expected frequencies. 
C)  there should be no differences between the observed and expected frequencies. 
D)  there should be strong similarities between the observed and expected frequencies. 
E)  there should be only one difference between the observed and expected frequencies. 
A)  there should be large differences between the observed and expected frequencies. 
B)  there should be small differences between the observed and expected frequencies. 
C)  there should be no differences between the observed and expected frequencies. 
D)  there should be strong similarities between the observed and expected frequencies. 
E)  there should be only one difference between the observed and expected frequencies.

Question 13

When the descriptors on a scale measure levels scale is metric.

Accepted Answer

A) True 
 B)False

Question 14

Which of the following correlation coefficients would indicate a "moderate" association?

Accepted Answer

A)  +0.85 
B)  -0.85 
C)  -0.75 
D)  +0.35 
E)  +0.60 
A)  +0.85 
B)  -0.85 
C)  -0.75 
D)  +0.35 
E)  +0.60

Question 15

A multiple regression equation is best described by which of the following forms?

Accepted Answer

A)  The independent variable is predicted by the intercept plus a series of values of the slope times each dependent variable. 
B)  The independent variable is predicted by the slope plus a series of values of the intercept times each dependent variable. 
C)  The dependent variable is predicted by the intercept plus a series of values of the slope times each independent variable. 
D)  The dependent variable to be predicted is equal to the intercept plus a series of values of the slope times each independent variable. 
E)  y = a + bx 
A)  The independent variable is predicted by the intercept plus a series of values of the slope times each dependent variable. 
B)  The independent variable is predicted by the slope plus a series of values of the intercept times each dependent variable. 
C)  The dependent variable is predicted by the intercept plus a series of values of the slope times each independent variable. 
D)  The dependent variable to be predicted is equal to the intercept plus a series of values of the slope times each independent variable. 
E)  y = a + bx

Question 16

Multiple regression may be used as a "screening device" in the sense that it may be used to reduce large numbers of potential independent variables in order to spot those that are most salient for the dependent variable.

Accepted Answer

A) True 
 B)False

Question 17

The Pearson Product Moment correlation measures the linear relationship between two metric-scaled variables.

Accepted Answer

A) True 
 B)False

Question 18

Which of the following is NOT a number that can be found in each cross-classification table cell?

Accepted Answer

A)  frequency 
B)  raw percentage 
C)  column percentage 
D)  overall percentage 
E)  row percentage 
A)  frequency 
B)  raw percentage 
C)  column percentage 
D)  overall percentage 
E)  row percentage

Question 19

Correlation analysis has the great advantage of relating two variables that are of very different measurements.

Accepted Answer

A) True 
 B)False

Question 20

In chi-square analysis, the greater the number of cells, the larger the degrees of freedom. The greater the number of cells, the more opportunity exists to calculate a large chi-square value. In other words, the chi-square value can be "inflated" not due to a real association but simply due to the fact that there are more cells in the analysis. This is why degrees of freedom are used to:

Accepted Answer

A)  determine how many cells you should analyze. 
B)  determine whether or not the computed chi-square value should be used for a post hoc test. 
C)  determine whether or not the chi-square value has a probability high enough to support, or not support, the null hypothesis. 
D)  lower the chi-square value in terms of its level of importance. 
E)  calculate expected values. 
A)  determine how many cells you should analyze. 
B)  determine whether or not the computed chi-square value should be used for a post hoc test. 
C)  determine whether or not the chi-square value has a probability high enough to support, or not support, the null hypothesis. 
D)  lower the chi-square value in terms of its level of importance. 
E)  calculate expected values.

The key to establishing a Boolean relationship between two variables is determining if one is present (or absent) when the other is present (or absent).

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

A correlation coefficient is an index number falling between the range of:

Chi-square analysis always begins with the assumption that no association exists between the two categorical variables under analysis.

What are the three uses of multiple regression analysis?

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.

Significant association relationships are always causal.

If we determine a precise linear relationship between two variables, then by knowing the value of one variable we should be able to predict the other variable.

One of the assumptions of regression analysis is that the plots on the scatter diagram will be spread uniformly and in accordance with the normal curve assumptions over the regression line.

A Boolean relationship is one in which the presence of one variable's label is systematically related to the:

A consistent and systematic linkage between the levels or labels for two variables is called a(n):

The logic of the chi-square test would argue that, for a significant relationship to exist:

When the descriptors on a scale measure levels scale is metric.

Which of the following correlation coefficients would indicate a "moderate" association?

A multiple regression equation is best described by which of the following forms?

Multiple regression may be used as a "screening device" in the sense that it may be used to reduce large numbers of potential independent variables in order to spot those that are most salient for the dependent variable.

The Pearson Product Moment correlation measures the linear relationship between two metric-scaled variables.

Which of the following is NOT a number that can be found in each cross-classification table cell?

Correlation analysis has the great advantage of relating two variables that are of very different measurements.

Introducing Marketing Research

The Marketing Research Process

Research Design

Using Secondary Data and Online Information Databases

Qualitative Research Methods

Quantitative Data Collection Methods

Survey Measurement Scales

Questionnaire Design

Sampling

Data Collection and Basic Descriptive Statistics

Population Estimates and Hypothesis Testing

Testing of Differences

Communicating the Research Results

Filters

Exam 13: Relationships Between Variables

The key to establishing a Boolean relationship between two variables is determining if one is present (or absent) when the other is present (or absent).

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

A correlation coefficient is an index number falling between the range of:

Chi-square analysis always begins with the assumption that no association exists between the two categorical variables under analysis.

What are the three uses of multiple regression analysis?

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.

Significant association relationships are always causal.

If we determine a precise linear relationship between two variables, then by knowing the value of one variable we should be able to predict the other variable.

One of the assumptions of regression analysis is that the plots on the scatter diagram will be spread uniformly and in accordance with the normal curve assumptions over the regression line.

A Boolean relationship is one in which the presence of one variable's label is systematically related to the:

A consistent and systematic linkage between the levels or labels for two variables is called a(n):

The logic of the chi-square test would argue that, for a significant relationship to exist:

When the descriptors on a scale measure levels scale is metric.

Which of the following correlation coefficients would indicate a "moderate" association?

A multiple regression equation is best described by which of the following forms?

Multiple regression may be used as a "screening device" in the sense that it may be used to reduce large numbers of potential independent variables in order to spot those that are most salient for the dependent variable.

The Pearson Product Moment correlation measures the linear relationship between two metric-scaled variables.

Which of the following is NOT a number that can be found in each cross-classification table cell?

Correlation analysis has the great advantage of relating two variables that are of very different measurements.

Introducing Marketing Research

The Marketing Research Process

Research Design

Using Secondary Data and Online Information Databases

Qualitative Research Methods

Quantitative Data Collection Methods

Survey Measurement Scales

Questionnaire Design

Sampling

Data Collection and Basic Descriptive Statistics

Population Estimates and Hypothesis Testing

Testing of Differences

Communicating the Research Results

Filters