Question 1

A bivariate statistical technique that is used to measure the strength of the relationship between two variables is called a _____.

Accepted Answer

A)   one-group t-test
B)   two-group t-test
C)   measure of association
D)   correlation matrixE) A) and B)
F) None of the above

Question 2

Explain the ordinary least-squares (OLS) method of regression analysis and the logic behind it.

Accepted Answer

Ordinary least squares (OLS) is a relati...

Question 3

The regression parameter that represents the height of the regression line relative to horizontal is _____.

Accepted Answer

The answer of The regression parameter that represents the height...

Question 4

In a regression equation, the slope of the regression line is denoted by the symbol ______.

Accepted Answer

The answer of In a regression equation, the slope of...

Question 5

In regression analysis, the symbol X is commonly used for the ______ variable, and the symbol Y is commonly used for the ______ variable.

Accepted Answer

A)   dependent; moderating
B)   independent; dependent
C)   dependent; independent
D)   independent; moderatingE) A) and D)
F) B) and C)

Question 6

The Pearson product-moment correlation coefficient ranges between ______ and ______.

Accepted Answer

The answer of The Pearson product-moment correlation coefficient ranges between...

Question 7

In most business research, the estimate of b in a regression equation is most important.

Accepted Answer

A) True 
 B)False

Question 8

In a correlation matrix, the main diagonal contains correlations of 1.00 because it represents a variable's correlation with itself.

Accepted Answer

A) True 
 B)False

Question 9

In regression analysis, the equation of a straight line is Y = a + b X.

Accepted Answer

A) True 
 B)False  True

Question 10

If the purpose of the regression analysis is forecasting, then standardized regression estimates must be used.

Accepted Answer

A) True 
 B)False

Question 11

In a correlation matrix, the correlations in the main diagonal are all equal to _____.

Accepted Answer

A)   -1.00
B)   0
C)   +0.50
D)   +1.00E) B) and C)
F) C) and D)

Question 12

The _____ is a measure obtained by squaring the correlation coefficient.

Accepted Answer

A)   t-statistic
B)   coefficient of determination (R2) 
C)   F-ratio
D)   Pearson coefficientE) C) and D)
F) None of the above

Question 13

Discuss the pros and cons of raw regression estimates and standardized regression estimates and discuss when each is appropriate.

Accepted Answer

Regression parameter estimates can be pr...

Question 14

A correlation coefficient indicates both the ______ of the relationship between two variables and the ______ of this relationship.

Accepted Answer

magnitude;...

Question 15

The coefficient of determination reflects the proportion of variance that can be explained by the regression line.

Accepted Answer

A) True 
 B)False

Question 16

Which of the following provides a common metric allowing regression results to be compared to one another no matter what the original scale range may have been?

Accepted Answer

A)   standardized regression coefficient (b) 
B)   c2
C)   coefficient of determination (R2) 
D)   raw parameter estimatesE) B) and D)
F) None of the above

Question 17

If the regression equation is: Y = -4.2 + 3.6 X , then the expected score for Y when X is 4 would be _____.

Accepted Answer

A)   -18.6
B)   10.2
C)   18.6
D)   4E) A) and B)
F) All of the above B

Question 18

In the regression equation, Y = a + b X , b is the _____.

Accepted Answer

A)   y-intercept
B)   independent variable
C)   slope of the regression line
D)   dependent variableE) A) and B)
F) None of the above

Question 19

Which of the following is the standard form for reporting observed correlations among multiple variables?

Accepted Answer

A)   correlation matrix
B)   contingency table
C)   Pearson grid
D)   inverse tableE) None of the above
F) B) and D)

Question 20

The symbol for the Pearson product-moment correlation coefficient is b.

Accepted Answer

A) True 
 B)False  False

Exam 23: Bivariate Statistical Analysis: Measures of Association

A bivariate statistical technique that is used to measure the strength of the relationship between two variables is called a _____.

Correct AnswerverifiedShow Answer

Explain the ordinary least-squares (OLS) method of regression analysis and the logic behind it.

Correct AnswerverifiedOrdinary least squares (OLS) is a relati...View AnswerShow Answer

The regression parameter that represents the height of the regression line relative to horizontal is _____.

Correct AnswerverifiedShow Answer

In a regression equation, the slope of the regression line is denoted by the symbol ______.

Correct AnswerverifiedShow Answer

In regression analysis, the symbol X is commonly used for the ______ variable, and the symbol Y is commonly used for the ______ variable.

Correct AnswerverifiedShow Answer

The Pearson product-moment correlation coefficient ranges between ______ and ______.

Correct AnswerverifiedShow Answer

In most business research, the estimate of b in a regression equation is most important.

Correct AnswerverifiedShow Answer

In a correlation matrix, the main diagonal contains correlations of 1.00 because it represents a variable's correlation with itself.

Correct AnswerverifiedShow Answer

In regression analysis, the equation of a straight line is Y = a + b X.

Correct AnswerverifiedTrue

If the purpose of the regression analysis is forecasting, then standardized regression estimates must be used.

Correct AnswerverifiedShow Answer

In a correlation matrix, the correlations in the main diagonal are all equal to _____.

Correct AnswerverifiedShow Answer

The _____ is a measure obtained by squaring the correlation coefficient.

Correct AnswerverifiedShow Answer

Discuss the pros and cons of raw regression estimates and standardized regression estimates and discuss when each is appropriate.

Correct AnswerverifiedRegression parameter estimates can be pr...View AnswerShow Answer

A correlation coefficient indicates both the ______ of the relationship between two variables and the ______ of this relationship.

Correct Answerverifiedmagnitude;...View AnswerShow Answer

The coefficient of determination reflects the proportion of variance that can be explained by the regression line.

Correct AnswerverifiedShow Answer

Which of the following provides a common metric allowing regression results to be compared to one another no matter what the original scale range may have been?

Correct AnswerverifiedShow Answer

If the regression equation is: Y = -4.2 + 3.6 X , then the expected score for Y when X is 4 would be _____.

Correct AnswerverifiedB

In the regression equation, Y = a + b X , b is the _____.

Correct AnswerverifiedShow Answer

Which of the following is the standard form for reporting observed correlations among multiple variables?

Correct AnswerverifiedShow Answer

The symbol for the Pearson product-moment correlation coefficient is b.

Correct AnswerverifiedFalse

Correct Answer
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Ordinary least squares (OLS) is a relati...
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In regression analysis, the symbol X is commonly used for the variable, and the symbol Y is commonly used for the variable.

Correct Answer
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The Pearson product-moment correlation coefficient ranges between and .

Correct Answer
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True

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Regression parameter estimates can be pr...
View Answer

A correlation coefficient indicates both the of the relationship between two variables and the of this relationship.

Correct Answer
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magnitude;...
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B

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