Question 1

The purpose of factor analysis can be best described as:

Accepted Answer

A)  data simplification by summarizing the information contained in a large number of variables into summary measures. 
B)  presenting the relationship between multiple categorical measures in a low-dimensional diagram. 
C)  assessing the significance of group differences across many metric dependent variables simultaneously. 
D)  assessing the degree of correlation of a group of categorical measures. 
A)  data simplification by summarizing the information contained in a large number of variables into summary measures. 
B)  presenting the relationship between multiple categorical measures in a low-dimensional diagram. 
C)  assessing the significance of group differences across many metric dependent variables simultaneously. 
D)  assessing the degree of correlation of a group of categorical measures.

Question 2

When two variables are not correlated at all, the correlation coefficient would be _______.

Accepted Answer

A)  -1 
B)  0 
C)  1 
D)  -2 
E)  none of the above 
A)  -1 
B)  0 
C)  1 
D)  -2 
E)  none of the above

Question 3

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 4

Which of the following techniques requires that both variables are ratio or interval data?

Accepted Answer

A)  bivariate regression 
B)  ANOVA 
C)  t test 
D)  Pearson's product-moment correlation 
E)  All are appropriate. 
A)  bivariate regression 
B)  ANOVA 
C)  t test 
D)  Pearson's product-moment correlation 
E)  All are appropriate.

Question 5

The independent variables in multiple regression should not be correlated with each other.

Accepted Answer

A) True 
 B)False

Question 6

Given the Correlation Matrix below, answer questions 
   Assume that respondents answered the questions with ratio scale responses.
-Which of the relationships in the matrix is the strongest?

Accepted Answer

The strongest relationship is between AG

Question 7

Which of the following is not a step in conjoint analysis?

Accepted Answer

A)  collecting trade-off data 
B)  estimating factor loadings 
C)  estimating preference structures 
D)  predicting consumers' choice 
A)  collecting trade-off data 
B)  estimating factor loadings 
C)  estimating preference structures 
D)  predicting consumers' choice

Question 8

This analytical technique helps determine what features a new product or service should have and how it should be priced.

Accepted Answer

A)  factor analysis 
B)  perceptual mapping 
C)  multiple discriminant analysis 
D)  conjoint analysis 
A)  factor analysis 
B)  perceptual mapping 
C)  multiple discriminant analysis 
D)  conjoint analysis

Question 9

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 10

In a regression equation, sales would typically be the ______________ variable.

Accepted Answer

A)  independent 
B)  coefficient 
C)  dependent 
D)  none of the above 
A)  independent 
B)  coefficient 
C)  dependent 
D)  none of the above

Question 11

A correlation analysis between sales and sales training scores results in R = +.98. Which of the following best interprets the relationship between sales and sales training?

Accepted Answer

A)  98% of the salespeople taking the test have higher sales. 
B)  The correlation between sales and sales training is very weak and insignificant. 
C)  The correlation between sales and sales training is strong and positive, indicating that higher sales training scores are closely associated with higher sales and vice-versa. 
D)  98% of the variation in sales is explained by variations in sales training scores. 
E)  none of the above 
A)  98% of the salespeople taking the test have higher sales. 
B)  The correlation between sales and sales training is very weak and insignificant. 
C)  The correlation between sales and sales training is strong and positive, indicating that higher sales training scores are closely associated with higher sales and vice-versa. 
D)  98% of the variation in sales is explained by variations in sales training scores. 
E)  none of the above

Question 12

If a company was interested in the impact that advertising and sales price had on sales, cluster analysis would be an appropriate tool to use.

Accepted Answer

A) True 
 B)False

Question 13

Dependent variables are also known as predictor variables.

Accepted Answer

A) True 
 B)False

Question 14

Which of the following are not applications of regression analysis in marketing research:

Accepted Answer

A)  Determining the relative influence of individual satisfaction elements on overall satisfaction 
B)  Determining which variables are predictive of sales of a particular product or service 
C)  Estimating the effects of various marketing mix variables on sales or market share 
D)  Comparing the effect of one variable on another 
E)  All are applications of regression analysis 
A)  Determining the relative influence of individual satisfaction elements on overall satisfaction 
B)  Determining which variables are predictive of sales of a particular product or service 
C)  Estimating the effects of various marketing mix variables on sales or market share 
D)  Comparing the effect of one variable on another 
E)  All are applications of regression analysis

Question 15

A R = -.95 is always weaker than +.95, because positive relationships are more significant than negative relationships.

Accepted Answer

A) True 
 B)False

Question 16

CVS conducted ongoing research to measure vehicular traffic past a dozen of their store locations in similar areas. To control all factors, they chose stores with virtually identical in parking, demographics, drive thru opportunities and local population. They wanted to develop a model for screening future locations as ideal sites for a new CVS. Based on this information, what two factors would they show in a correlational analysis for their research?

Accepted Answer

Correlation analysis examines

Question 17

In order to make valid comparisons of regression coefficients, the coefficients must be scaled in the same units, or be standardized.

Accepted Answer

A) True 
 B)False

Question 18

_______________ 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 19

In multiple regression analysis the dependent variable is nominal or categorical.

Accepted Answer

A) True 
 B)False

Question 20

___________ 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

The purpose of factor analysis can be best described as:

When two variables are not correlated at all, the correlation coefficient would be _______.

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%.

Which of the following techniques requires that both variables are ratio or interval data?

The independent variables in multiple regression should not be correlated with each other.

Given the Correlation Matrix below, answer questions Assume that respondents answered the questions with ratio scale responses. -Which of the relationships in the matrix is the strongest?

Which of the following is not a step in conjoint analysis?

This analytical technique helps determine what features a new product or service should have and how it should be priced.

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

In a regression equation, sales would typically be the ______________ variable.

A correlation analysis between sales and sales training scores results in R = +.98. Which of the following best interprets the relationship between sales and sales training?

If a company was interested in the impact that advertising and sales price had on sales, cluster analysis would be an appropriate tool to use.

Dependent variables are also known as predictor variables.

Which of the following are not applications of regression analysis in marketing research:

A R = -.95 is always weaker than +.95, because positive relationships are more significant than negative relationships.

In order to make valid comparisons of regression coefficients, the coefficients must be scaled in the same units, or be standardized.

_______________ 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

In multiple regression analysis the dependent variable is nominal or categorical.

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

Problem Definition and the Research Process

Secondary Data and Databases

Qualitative Research

Traditional Survey Research

Online Marketing Research

Primary Data Collection: Observation

Primary Data Collection: Experimentation and Test Markets

The Concept of Measurement and Attitude Scales

Questionnaire Design

Basic Sampling Issues

Sample Size Determination

Data Processing, Data Analysis, and Statistical Testing

Communicating Results and Managing Marketing Research

Filters

Exam 14: More Powerful Statistical Methods

The purpose of factor analysis can be best described as:

When two variables are not correlated at all, the correlation coefficient would be _______.

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%.

Which of the following techniques requires that both variables are ratio or interval data?

The independent variables in multiple regression should not be correlated with each other.

Given the Correlation Matrix below, answer questions Assume that respondents answered the questions with ratio scale responses. -Which of the relationships in the matrix is the strongest?

Which of the following is not a step in conjoint analysis?

This analytical technique helps determine what features a new product or service should have and how it should be priced.

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

In a regression equation, sales would typically be the ______________ variable.

A correlation analysis between sales and sales training scores results in R = +.98. Which of the following best interprets the relationship between sales and sales training?

If a company was interested in the impact that advertising and sales price had on sales, cluster analysis would be an appropriate tool to use.

Dependent variables are also known as predictor variables.

Which of the following are not applications of regression analysis in marketing research:

A R = -.95 is always weaker than +.95, because positive relationships are more significant than negative relationships.

In order to make valid comparisons of regression coefficients, the coefficients must be scaled in the same units, or be standardized.

_______________ 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

In multiple regression analysis the dependent variable is nominal or categorical.

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

Problem Definition and the Research Process

Secondary Data and Databases

Qualitative Research

Traditional Survey Research

Online Marketing Research

Primary Data Collection: Observation

Primary Data Collection: Experimentation and Test Markets

The Concept of Measurement and Attitude Scales

Questionnaire Design

Basic Sampling Issues

Sample Size Determination

Data Processing, Data Analysis, and Statistical Testing

Communicating Results and Managing Marketing Research

Filters