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


A) one-group t-test
B) two-group t-test
C) measure of association
D) correlation matrix

E) A) and B)
F) None of the above

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

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

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

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

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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.


A) dependent; moderating
B) independent; dependent
C) dependent; independent
D) independent; moderating

E) A) and D)
F) B) and C)

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

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

A) True
B) False

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

A) True
B) False

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

A) True
B) False

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True

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

A) True
B) False

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


A) -1.00
B) 0
C) +0.50
D) +1.00

E) B) and C)
F) C) and D)

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


A) t-statistic
B) coefficient of determination (R2)
C) F-ratio
D) Pearson coefficient

E) C) and D)
F) None of the above

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

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Regression parameter estimates can be pr...

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

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magnitude;...

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

A) True
B) False

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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?


A) standardized regression coefficient (b)
B) c2
C) coefficient of determination (R2)
D) raw parameter estimates

E) B) and D)
F) None of the above

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


A) -18.6
B) 10.2
C) 18.6
D) 4

E) A) and B)
F) All of the above

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B

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


A) y-intercept
B) independent variable
C) slope of the regression line
D) dependent variable

E) A) and B)
F) None of the above

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


A) correlation matrix
B) contingency table
C) Pearson grid
D) inverse table

E) None of the above
F) B) and D)

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

A) True
B) False

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False

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