Question 1

When we present findings on cross-tabulations with chi-square analysis, graphical presentations such as bar or stacked bar charts are often useful.

Accepted Answer

A) True 
 B)False  True

Question 2

To use a correlation, you must first establish that it is statistically significant from one.

Accepted Answer

A) True 
 B)False  False

Question 3

In the formula for bivariate regression analysis, the change in y for each one-unit change in x is known as the slope.

Accepted Answer

A) True 
 B)False  True

Question 4

In multiple regression analysis, we are trying to predict an independent variable using more than two dependent variables.

Accepted Answer

A) True 
 B)False

Question 5

In the formula for a straight line, the intercept is known as:

Accepted Answer

A)  the dependent variable. 
B)  the variable used to predict the dependent variable. 
C)  the change in y for any unit change in x. 
D)  the point where the line cuts the y axis when x = 0. 
E)  "b". 
A)  the dependent variable. 
B)  the variable used to predict the dependent variable. 
C)  the change in y for any unit change in x. 
D)  the point where the line cuts the y axis when x = 0. 
E)  "b".

Question 6

Which of the following residuals shows an exact prediction?

Accepted Answer

A)  0 
B)  +1.0 
C)  -25 
D)  +25 
E)  100.0 
A)  0 
B)  +1.0 
C)  -25 
D)  +25 
E)  100.0

Question 7

Cross-tabulation tables allow us to look at two variables simultaneously and are arranged in a row and column format.

Accepted Answer

A) True 
 B)False

Question 8

If the tests of the significance of the slope and the intercept are significant, this means that the straight-line relationship depicted by the slope and the intercept actually exists in the population and, therefore, the regression equation may be used as a prediction device.

Accepted Answer

A) True 
 B)False

Question 9

Tests for significance of the computed intercept and computed slope are required in order to be able to predict the value of the dependent variable based on some value of the independent variable. The test used for this is the:

Accepted Answer

A)  Chi-square. 
B)  Analysis of residuals. 
C)  t test. 
D)  f test. 
E)  z test. 
A)  Chi-square. 
B)  Analysis of residuals. 
C)  t test. 
D)  f test. 
E)  z test.

Question 10

_____________ analysis determines the best slope and the best intercept possible for the straight-line relationship between the independent and dependent variables for the data set that is being used in the analysis.

Accepted Answer

A)  Chi-square 
B)  Residual 
C)  t test 
D)  Covariate 
E)  Regression 
A)  Chi-square 
B)  Residual 
C)  t test 
D)  Covariate 
E)  Regression

Question 11

The degrees of freedom in chi-square are calculated by multiplying the number of rows minus one, times the number of columns minus one.

Accepted Answer

A) True 
 B)False

Question 12

When you find "mixed" results in multiple regression (i.e., some betas are significant, others are not), you:

Accepted Answer

A)  eliminate, or "trim," the insignificant variables. 
B)  adjust the insignificant variables by applying a standardized weight. 
C)  accept the null hypothesis. 
D)  choose the result that fits your hypothesis. 
E)  add other variables and run the test again. 
A)  eliminate, or "trim," the insignificant variables. 
B)  adjust the insignificant variables by applying a standardized weight. 
C)  accept the null hypothesis. 
D)  choose the result that fits your hypothesis. 
E)  add other variables and run the test again.

Question 13

That a scatter diagram plot will be spread uniformly and in accord with the normal curve assumptions over the regression line is:

Accepted Answer

A)  one of the assumptions of regression analysis 
B)  one of the assumptions of time series analysis 
C)  the only assumption of exponential smoothing 
D)  the only assumption of scatter diagram plots 
E)  an understood fact 
A)  one of the assumptions of regression analysis 
B)  one of the assumptions of time series analysis 
C)  the only assumption of exponential smoothing 
D)  the only assumption of scatter diagram plots 
E)  an understood fact

Question 14

A stacked bar chart provides a way of visualizing Boolean relationships and should be used only if:

Accepted Answer

A)  the relationship is practically significant. 
B)  if the regression analysis proves statistical significance exists. 
C)  the relationship is statistically significant. 
D)  there are more than two categorical variables. 
E)  when the pie chart option is too cumbersome. 
A)  the relationship is practically significant. 
B)  if the regression analysis proves statistical significance exists. 
C)  the relationship is statistically significant. 
D)  there are more than two categorical variables. 
E)  when the pie chart option is too cumbersome.

Question 15

In order to run a chi-square test using XL Data Analyst, the proper command sequence is:

Accepted Answer

A)  "chi-square," select a column variable, select a row variable, and "OK" 
B)  "chi-square," select a column variable, select a row variable, enter degrees of freedom, and "OK" 
C)  "Relate," "Crosstabs," select a column variab 
D)  "Relate,""Crosstabs," select a column variable, select a row variable, and "OK" 
E)  "crosstabs," "chi-square," select two variables, and "OK"le, select a row variable, enter degrees of freedom, and "OK" 
A)  "chi-square," select a column variable, select a row variable, and "OK" 
B)  "chi-square," select a column variable, select a row variable, enter degrees of freedom, and "OK" 
C)  "Relate," "Crosstabs," select a column variab 
D)  "Relate,""Crosstabs," select a column variable, select a row variable, and "OK" 
E)  "crosstabs," "chi-square," select two variables, and "OK"le, select a row variable, enter degrees of freedom, and "OK"

Question 16

Which of the following 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)  Adjusted B 
A)  Adjusted R 
B)  Multiple R 
C)  multicollinearity 
D)  VIF 
E)  Adjusted B

Question 17

In bivariate regression analysis, the independent variable is one that is:

Accepted Answer

A)  used to predict the dependent variable, and it is the x in the regression formula. 
B)  used to predict the dependent variable, and it is the y in the regression formula. 
C)  predicted, and it is the x in the regression formula. 
D)  predicted, and it is the y in the regression formula. 
E)  used to predict the dependent variable, and it is the b in the regression formula. 
A)  used to predict the dependent variable, and it is the x in the regression formula. 
B)  used to predict the dependent variable, and it is the y in the regression formula. 
C)  predicted, and it is the x in the regression formula. 
D)  predicted, and it is the y in the regression formula. 
E)  used to predict the dependent variable, and it is the b in the regression formula.

Question 18

The plots on the scatter diagram will be spread uniformly and in accordance with the normal curve assumptions over the regression line. This is:

Accepted Answer

A)  based on residuals analysis. 
B)  according to the Central Limit Theorem. 
C)  one of the assumptions of regression analysis. 
D)  due to confidence interval analysis. 
E)  a hypothesis. 
A)  based on residuals analysis. 
B)  according to the Central Limit Theorem. 
C)  one of the assumptions of regression analysis. 
D)  due to confidence interval analysis. 
E)  a hypothesis.

Question 19

A Boolean relationship was uncovered showing that McDonald's customers drink coffee for breakfast and soft drinks at lunch. How might the results have been presented to McDonald's?

Accepted Answer

A)  pie chart 
B)  stacked bar chart 
C)  bar chart 
D)  pie chart or stacked bar chart 
E)  pie chart or bar chart 
A)  pie chart 
B)  stacked bar chart 
C)  bar chart 
D)  pie chart or stacked bar chart 
E)  pie chart or bar chart

Question 20

A measure of the accuracy of the predictions of the regression equation is referred to as:

Accepted Answer

A)  standard error of the mean. 
B)  standard deviation. 
C)  residuals deviation. 
D)  standard error of the estimate. 
E)  regression deviation. 
A)  standard error of the mean. 
B)  standard deviation. 
C)  residuals deviation. 
D)  standard error of the estimate. 
E)  regression deviation.

When we present findings on cross-tabulations with chi-square analysis, graphical presentations such as bar or stacked bar charts are often useful.

To use a correlation, you must first establish that it is statistically significant from one.

In the formula for bivariate regression analysis, the change in y for each one-unit change in x is known as the slope.

In multiple regression analysis, we are trying to predict an independent variable using more than two dependent variables.

In the formula for a straight line, the intercept is known as:

Which of the following residuals shows an exact prediction?

Cross-tabulation tables allow us to look at two variables simultaneously and are arranged in a row and column format.

If the tests of the significance of the slope and the intercept are significant, this means that the straight-line relationship depicted by the slope and the intercept actually exists in the population and, therefore, the regression equation may be used as a prediction device.

Tests for significance of the computed intercept and computed slope are required in order to be able to predict the value of the dependent variable based on some value of the independent variable. The test used for this is the:

_____________ analysis determines the best slope and the best intercept possible for the straight-line relationship between the independent and dependent variables for the data set that is being used in the analysis.

The degrees of freedom in chi-square are calculated by multiplying the number of rows minus one, times the number of columns minus one.

When you find "mixed" results in multiple regression (i.e., some betas are significant, others are not), you:

That a scatter diagram plot will be spread uniformly and in accord with the normal curve assumptions over the regression line is:

A stacked bar chart provides a way of visualizing Boolean relationships and should be used only if:

In order to run a chi-square test using XL Data Analyst, the proper command sequence is:

Which of the following in multiple regression is a handy measure of the strength of the overall relationship?

In bivariate regression analysis, the independent variable is one that is:

The plots on the scatter diagram will be spread uniformly and in accordance with the normal curve assumptions over the regression line. This is:

A Boolean relationship was uncovered showing that McDonald's customers drink coffee for breakfast and soft drinks at lunch. How might the results have been presented to McDonald's?

A measure of the accuracy of the predictions of the regression equation is referred to as:

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

When we present findings on cross-tabulations with chi-square analysis, graphical presentations such as bar or stacked bar charts are often useful.

To use a correlation, you must first establish that it is statistically significant from one.

In the formula for bivariate regression analysis, the change in y for each one-unit change in x is known as the slope.

In multiple regression analysis, we are trying to predict an independent variable using more than two dependent variables.

In the formula for a straight line, the intercept is known as:

Which of the following residuals shows an exact prediction?

Cross-tabulation tables allow us to look at two variables simultaneously and are arranged in a row and column format.

If the tests of the significance of the slope and the intercept are significant, this means that the straight-line relationship depicted by the slope and the intercept actually exists in the population and, therefore, the regression equation may be used as a prediction device.

Tests for significance of the computed intercept and computed slope are required in order to be able to predict the value of the dependent variable based on some value of the independent variable. The test used for this is the:

_____________ analysis determines the best slope and the best intercept possible for the straight-line relationship between the independent and dependent variables for the data set that is being used in the analysis.

The degrees of freedom in chi-square are calculated by multiplying the number of rows minus one, times the number of columns minus one.

When you find "mixed" results in multiple regression (i.e., some betas are significant, others are not), you:

That a scatter diagram plot will be spread uniformly and in accord with the normal curve assumptions over the regression line is:

A stacked bar chart provides a way of visualizing Boolean relationships and should be used only if:

In order to run a chi-square test using XL Data Analyst, the proper command sequence is:

Which of the following in multiple regression is a handy measure of the strength of the overall relationship?

In bivariate regression analysis, the independent variable is one that is:

The plots on the scatter diagram will be spread uniformly and in accordance with the normal curve assumptions over the regression line. This is:

A Boolean relationship was uncovered showing that McDonald's customers drink coffee for breakfast and soft drinks at lunch. How might the results have been presented to McDonald's?

A measure of the accuracy of the predictions of the regression equation is referred to as:

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