Question 1

Which one of the following is the same as standard deviation of regression coefficient?

Accepted Answer

A) sum of squares of errors 
B) standard error 
C) predicted value 
D) standard error of the estimate 
A) sum of squares of errors 
B) standard error 
C) predicted value 
D) standard error of the estimate B

Question 2

Correlation analysis involves measuring the strength of the relationship between two variables.

Accepted Answer

A) True 
 B)False  True

Question 3

A regression analysis has shown that there is a definite, positive relationship between sales dependent variable.and advertising and sales promotion all units in dollars).The estimated relationship is sales = 3) advertising + 1) sales promotion + 1,500.Based on the given information

Accepted Answer

A) all marketing resources should be allocated to advertising, if possible. 
B) all marketing resources should be allocated to sales promotion, if possible. 
C) the allocation between advertising and sales promotion should be split in the ratio 3 to 1 in all circumstances. 
D) since both variables exhibit a positive relationship to sales, resources should be allocated equally between sales promotion and
Advertising in all circumstances. 
E) none of the above. 
A) all marketing resources should be allocated to advertising, if possible. 
B) all marketing resources should be allocated to sales promotion, if possible. 
C) the allocation between advertising and sales promotion should be split in the ratio 3 to 1 in all circumstances. 
D) since both variables exhibit a positive relationship to sales, resources should be allocated equally between sales promotion and
Advertising in all circumstances. 
E) none of the above. A

Question 4

In the simple linear regression model, Y = $\alpha$ + $\beta$X + e,

Accepted Answer

A) the errors are assumed to be as likely to occur above the line as below the line. 
B) the errors are assumed to be more likely to occur above the line than below it. 
C) the errors are assumed to be more likely to occur below the line than above it. 
D) it is assumed that the error is larger for larger values of X. 
E) it is assumed that the error is smaller for larger values of X. 
A) the errors are assumed to be as likely to occur above the line as below the line. 
B) the errors are assumed to be more likely to occur above the line than below it. 
C) the errors are assumed to be more likely to occur below the line than above it. 
D) it is assumed that the error is larger for larger values of X. 
E) it is assumed that the error is smaller for larger values of X.

Question 5

The error term is not normally distributed is an assumption of the regression analysis.

Accepted Answer

A) True 
 B)False

Question 6

The sole purpose of regression analysis is to predict the level of a dependent variable, given proposed levels of the independent variables.

Accepted Answer

A) True 
 B)False

Question 7

A two-dimensional graph in which two variables are plotted is called a

Accepted Answer

A) comparison plot 
B) double dimensional plot 
C) scatter diagram 
D) venn diagram 
E) none of the above 
A) comparison plot 
B) double dimensional plot 
C) scatter diagram 
D) venn diagram 
E) none of the above

Question 8

The larger the beta coefficient value, the stronger the effect of that variable upon the dependent variable.

Accepted Answer

A) True 
 B)False

Question 9

If you tested a null hypothesis on problem 7, and accepted it, the probability of Type I error would be

Accepted Answer

A) .95 
B) .50 
C) .10 
D) .05 
E) zero 
A) .95 
B) .50 
C) .10 
D) .05 
E) zero

Question 10

When an understanding of the relationship between X and Y is the motivation behind data analysis, the estimate of the $\beta$ parameter is of primary importance.

Accepted Answer

A) True 
 B)False

Question 11

In doing the statistical test in analysis of variance problem, you accept the null hypothesis while testing with n alpha = .01.You were later told that you should have tested the null hypothesis with alpha = .05.You should

Accepted Answer

A) change nothing since the outcome is the same 
B) re-test since the results might change 
C) accept the null hypothesis since the result is just the opposite with alpha = .05 
D) consider taking a larger sample size to decrease alpha 
E) none of the above 
A) change nothing since the outcome is the same 
B) re-test since the results might change 
C) accept the null hypothesis since the result is just the opposite with alpha = .05 
D) consider taking a larger sample size to decrease alpha 
E) none of the above

Question 12

The degree of linear association between two intervally scaled variables is measured by

Accepted Answer

A) Pearson correlation coefficient 
B) significance level 
C) analysis of variance 
D) $\beta$ 
A) Pearson correlation coefficient 
B) significance level 
C) analysis of variance 
D) $\beta$

Question 13

The knowledge of the regression coefficient and the t value can suggest the extent of association an independent variable has on the dependent variable.

Accepted Answer

A) True 
 B)False

Question 14

Snow Belt Airlines weighed the baggage of 100 passengers and found the mean weight to be 34.2 pounds with a standard deviation of 14 pounds.What is the 95% onfidence interval for the actual weight of the aggage ? Round Z to the nearest whole number)

Accepted Answer

A) 20.0 - 48.2 
B) 32.8 - 35.6 
C) 31.4 - 37.0 
D) 0.0 - 50.0 
A) 20.0 - 48.2 
B) 32.8 - 35.6 
C) 31.4 - 37.0 
D) 0.0 - 50.0

Question 15

If the standard deviation of X is approximated by s, then the standard deviation of the mean based on a sample size of n) is s/F$\surd$n.

Accepted Answer

A) True 
 B)False

Question 16

r2 = Total variation - Unexplained variation Total variation

Accepted Answer

A) True 
 B)False

Question 17

Based on the regression model, ^ ^ If Y = 50 + 25X, where Y = estimated sales level X = advertising 1-the actual sales level, when X = 2, is 100. 2-when X = 3, the estimated sales level is 125. 3-when X = 3, the estimated sales level is 175. 4-when X = 3, the actual sales level is 125.

Accepted Answer

A) 1 
B) 2 
C) 3 
D) 4 
E) 1 and 4 
A) 1 
B) 2 
C) 3 
D) 4 
E) 1 and 4

Question 18

Consider the following: Y = 20 + 30X Sb = 20 1-The value of t is 1.0. 2-The value of t is 1.5. 3-The evidence suggests that $\beta$ = 0. 4-The evidence suggests that $\beta$$\neq$ 0.

Accepted Answer

A) 1 
B) 2 
C) 3 
D) 4 
E) 2 and 4 
A) 1 
B) 2 
C) 3 
D) 4 
E) 2 and 4

Question 19

Which of the following is not an assumption of the regression model?

Accepted Answer

A) the error term is normally distributed 
B) the error terms are independent of each other 
C) the values of independent variable are fixed 
D) the independent variable is normally distributed 
A) the error term is normally distributed 
B) the error terms are independent of each other 
C) the values of independent variable are fixed 
D) the independent variable is normally distributed

Question 20

The difference between the actual and the predicted values in a regression equation is called residuals.

Accepted Answer

A) True 
 B)False

Exam 19: Correlation Analysis and Regression Analysis

Which one of the following is the same as standard deviation of regression coefficient?

Correlation analysis involves measuring the strength of the relationship between two variables.

A regression analysis has shown that there is a definite, positive relationship between sales dependent variable.and advertising and sales promotion all units in dollars).The estimated relationship is sales = 3) advertising + 1) sales promotion + 1,500.Based on the given information

In the simple linear regression model, Y = α\alphaα + β\betaβ X + e,

The error term is not normally distributed is an assumption of the regression analysis.

The sole purpose of regression analysis is to predict the level of a dependent variable, given proposed levels of the independent variables.

A two-dimensional graph in which two variables are plotted is called a

The larger the beta coefficient value, the stronger the effect of that variable upon the dependent variable.

If you tested a null hypothesis on problem 7, and accepted it, the probability of Type I error would be

When an understanding of the relationship between X and Y is the motivation behind data analysis, the estimate of the β\betaβ parameter is of primary importance.

In doing the statistical test in analysis of variance problem, you accept the null hypothesis while testing with n alpha = .01.You were later told that you should have tested the null hypothesis with alpha = .05.You should

The degree of linear association between two intervally scaled variables is measured by

The knowledge of the regression coefficient and the t value can suggest the extent of association an independent variable has on the dependent variable.

Snow Belt Airlines weighed the baggage of 100 passengers and found the mean weight to be 34.2 pounds with a standard deviation of 14 pounds.What is the 95% onfidence interval for the actual weight of the aggage ? Round Z to the nearest whole number)

If the standard deviation of X is approximated by s, then the standard deviation of the mean based on a sample size of n) is s/F √\surd√ n.

r2 = Total variation - Unexplained variation Total variation

Based on the regression model, ^ ^ If Y = 50 + 25X, where Y = estimated sales level X = advertising 1-the actual sales level, when X = 2, is 100. 2-when X = 3, the estimated sales level is 125. 3-when X = 3, the estimated sales level is 175. 4-when X = 3, the actual sales level is 125.

Consider the following: Y = 20 + 30X Sb = 20 1-The value of t is 1.0. 2-The value of t is 1.5. 3-The evidence suggests that β\betaβ = 0. 4-The evidence suggests that β\betaβ≠\neq= 0.

Which of the following is not an assumption of the regression model?

The difference between the actual and the predicted values in a regression equation is called residuals.

A Decision Making Perspective on Marketing Intelligence

Marketing Research in Practice

The Marketing Research Process

Research Design and Implementation

Secondary Sources of Marketing Data

Standardized Sources of Marketing Data

Marketing Research on the Internet

Information Collection: Qualitative and Observational Methods

Information From Respondents: Issues in Data Collection

Information From Respondents: Survey Methods

Ttitude Measurement

Signing the Questionnaire

Xperimentation

Sampling Fundamentals

Sample Size and Statistical Theory

Fundamentals of Data Analysis

Hypothesis Testing: Basic Concepts and Tests of Association

Hypothesis Testing: Means and Proportions

Iscriminant, Factor and Cluster Analysis

Multidimensional Scaling and Conjoint Analysis

Presenting the Results

Marketing-Mix Measures

Ontemporary Applications of Marketing Intelligence

Atabase Marketing, E-Commerce, Relationship

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In the simple linear regression model, Y = $\alpha$ + $\beta$ X + e,

When an understanding of the relationship between X and Y is the motivation behind data analysis, the estimate of the $\beta$ parameter is of primary importance.

If the standard deviation of X is approximated by s, then the standard deviation of the mean based on a sample size of n) is s/F $\surd$ n.

r² = Total variation - Unexplained variation Total variation

Consider the following: Y = 20 + 30X S_b = 20 1-The value of t is 1.0. 2-The value of t is 1.5. 3-The evidence suggests that $\beta$ = 0. 4-The evidence suggests that $\beta$ $\neq$ 0.