Question 1

When performing cross tabulations,percentages are always calculated in the direction of the

Accepted Answer

A) dependent variable. 
B) independent variable. 
C) causal variable. 
D) Both a and b. 
E) Both b and c. 
A) dependent variable. 
B) independent variable. 
C) causal variable. 
D) Both a and b. 
E) Both b and c.

Question 2

Assume that a researcher determines that a p-value of 0.01 or below determines significance.Listed below are several correlation coefficients and their respective significance levels.Which correlation coefficient demonstrates an association not likely due to chance (i.e. ,significant)?

Accepted Answer

A) 0.22,0.06 
B) 0.75,0.00 
C) -0.32,0.15 
D) -0.76,0.95 
E) 0.26,0.10 
A) 0.22,0.06 
B) 0.75,0.00 
C) -0.32,0.15 
D) -0.76,0.95 
E) 0.26,0.10

Question 3

In testing a multiple regression equation for statistical significance,the first step involves

Accepted Answer

A) testing the intercept term using a t-test. 
B) using a t-test to examine the significance of the overall equation. 
C) using an F-test to examine the significance of the overall equation. 
D) testing each of the slope coefficients using a t-test. 
E) testing each of the slope coefficients using an F-test. 
A) testing the intercept term using a t-test. 
B) using a t-test to examine the significance of the overall equation. 
C) using an F-test to examine the significance of the overall equation. 
D) testing each of the slope coefficients using a t-test. 
E) testing each of the slope coefficients using an F-test.

Question 4

Consider the regression equation Y = 5 + 16X1 + 38X2 relating annual expenditures on a particular product Y to X1 and X2,where   Which of the following is FALSE? The equation suggests

Accepted Answer

A) An upper class person could be expected on the average to spend $38 per year more than a lower class person on the product. 
B) A middle class person could be expected on the average to spend $16 more per year on the product than a lower class person. 
C) A lower class person could be expected on the average to spend $5 per year on the product. 
D) An upper class person could be expected on the average to spend $22 more per year on the product than a middle class person. 
E) An upper class person could be expected on the average to spend $38 per year on the product. 
A) An upper class person could be expected on the average to spend $38 per year more than a lower class person on the product. 
B) A middle class person could be expected on the average to spend $16 more per year on the product than a lower class person. 
C) A lower class person could be expected on the average to spend $5 per year on the product. 
D) An upper class person could be expected on the average to spend $22 more per year on the product than a middle class person. 
E) An upper class person could be expected on the average to spend $38 per year on the product.

Question 5

The manager of New England Patriots conducted a large survey.He wanted to know if there was an association between fans being "season ticket holders" vs."non-season ticket holders" and whether they "bought" vs."didn't buy" team merchandise at the game.Since his survey included these measurements,he used SPSS to run a Pearson correlation coefficient that turned out to be 0.88 with a Sig.value of .001.This meant there is a significant relationship.

Accepted Answer

A) True 
 B)False

Question 6

Suppose the ordinary least-squares approach to a regression analysis produced the following Y = 20 - 39X
R2 = .90
Which of the following statements is FALSE?

Accepted Answer

A) For every unit change in X there is a corresponding negative change in the average value of Y of 39 units. 
B) 90 percent of the variation in Y is associated with variation in X. 
C) The slope of the line is 20. 
D) The average value of Y given x = 10 is -370. 
E) If X = 0,then Y = 20. 
A) For every unit change in X there is a corresponding negative change in the average value of Y of 39 units. 
B) 90 percent of the variation in Y is associated with variation in X. 
C) The slope of the line is 20. 
D) The average value of Y given x = 10 is -370. 
E) If X = 0,then Y = 20.

Question 7

Exhibit 20.2 Suppose that the relationship between sales (Y,in $000)and number of salespeople (X)is represented by the following regression equation:
Y = 105.2 + 35.8X
Refer to Exhibit 20.2.What will be the average contribution to sales of one additional salesperson?

Accepted Answer

A) $35.80 
B) $141,000 
C) $35,800 
D) $141.00 
E) More information is needed to answer this question. 
A) $35.80 
B) $141,000 
C) $35,800 
D) $141.00 
E) More information is needed to answer this question.

Question 8

When using the z-test to compare proportions,the minimum cell size required is

Accepted Answer

A) 10 per cell. 
B) 11 per cell. 
C) 20 per cell. 
D) 30 per cell. 
E) 70 per cell. 
A) 10 per cell. 
B) 11 per cell. 
C) 20 per cell. 
D) 30 per cell. 
E) 70 per cell.

When performing cross tabulations,percentages are always calculated in the direction of the

Assume that a researcher determines that a p-value of 0.01 or below determines significance.Listed below are several correlation coefficients and their respective significance levels.Which correlation coefficient demonstrates an association not likely due to chance (i.e. ,significant)?

In testing a multiple regression equation for statistical significance,the first step involves

Consider the regression equation Y = 5 + 16X₁ + 38X₂ relating annual expenditures on a particular product Y to X₁ and X₂,where Which of the following is FALSE? The equation suggests

Suppose the ordinary least-squares approach to a regression analysis produced the following Y = 20 - 39X R² = .90 Which of the following statements is FALSE?

Exhibit 20.2 Suppose that the relationship between sales (Y,in $000)and number of salespeople (X)is represented by the following regression equation: Y = 105.2 + 35.8X Refer to Exhibit 20.2.What will be the average contribution to sales of one additional salesperson?

When using the z-test to compare proportions,the minimum cell size required is

The Role of Marketing Research

Gathering Marketing Intelligence: The Systems Approach

Gathering Marketing Intelligence: The Project Approach

Problem Formulation

Types of Research Design and Exploratory Research

Descriptive and Causal Research Designs

Secondary Data

Standardized Marketing Information Services

Collecting Primary Data

Collecting Information by Communication

Collecting Information by Observation

Asking Good Questions: Measurement Basics

Measuring Attitudes and Other Variables

Designing the Questionnaire or Observation Form

Developing the Sampling Plan

Determining Sample Size

Collecting the Data: Nonsampling Errors and Response Rate Calculation

Data Analysis: Preliminary Steps

Data Analysis: Analyzing Individual Variables and Basics of Hypothesis Testing

The Research Report

Filters

Exam 20: Data Analysis: Analyzing Multiple Variables Simultaneously

When performing cross tabulations,percentages are always calculated in the direction of the

Assume that a researcher determines that a p-value of 0.01 or below determines significance.Listed below are several correlation coefficients and their respective significance levels.Which correlation coefficient demonstrates an association not likely due to chance (i.e. ,significant)?

In testing a multiple regression equation for statistical significance,the first step involves

Consider the regression equation Y = 5 + 16X1 + 38X2 relating annual expenditures on a particular product Y to X1 and X2,where Which of the following is FALSE? The equation suggests

Suppose the ordinary least-squares approach to a regression analysis produced the following Y = 20 - 39X R2 = .90 Which of the following statements is FALSE?

Exhibit 20.2 Suppose that the relationship between sales (Y,in $000)and number of salespeople (X)is represented by the following regression equation: Y = 105.2 + 35.8X Refer to Exhibit 20.2.What will be the average contribution to sales of one additional salesperson?

When using the z-test to compare proportions,the minimum cell size required is

The Role of Marketing Research

Gathering Marketing Intelligence: The Systems Approach

Gathering Marketing Intelligence: The Project Approach

Problem Formulation

Types of Research Design and Exploratory Research

Descriptive and Causal Research Designs

Secondary Data

Standardized Marketing Information Services

Collecting Primary Data

Collecting Information by Communication

Collecting Information by Observation

Asking Good Questions: Measurement Basics

Measuring Attitudes and Other Variables

Designing the Questionnaire or Observation Form

Developing the Sampling Plan

Determining Sample Size

Collecting the Data: Nonsampling Errors and Response Rate Calculation

Data Analysis: Preliminary Steps

Data Analysis: Analyzing Individual Variables and Basics of Hypothesis Testing

The Research Report

Filters

Consider the regression equation Y = 5 + 16X₁ + 38X₂ relating annual expenditures on a particular product Y to X₁ and X₂,where Which of the following is FALSE? The equation suggests

Suppose the ordinary least-squares approach to a regression analysis produced the following Y = 20 - 39X R² = .90 Which of the following statements is FALSE?