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r = 0 indicates ________.


A) X and Y have a relationship
B) X and Y don't have a linear relationship
C) X and Y are unrelated
D) X and Y have a linear relationship

E) C) and D)
F) All of the above

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Which statement about the correlation coefficient,r,is true?


A) The calculation of r assumes that X and Y are metric variables whose distributions have the same shape.
B) The correlation coefficient computed for a population is denoted by ρ(rho) .
C) Data obtained by using rating scales with a small number of categories tends to deflate r.
D) All of the statements are true.

E) C) and D)
F) All of the above

Correct Answer

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The estimated parameter b is usually referred to as the non-standardized regression coefficient.

A) True
B) False

Correct Answer

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The ________ is a measure of the association between two variables after controlling or adjusting for the effects of one or more additional variables.


A) regression analysis
B) partial correlation coefficient
C) ANOVA
D) product moment correlation

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

Correct Answer

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Both r and r2 are symmetric measures of association.In other words,the correlation of X and Y is the same as the correlation of Y and X.

A) True
B) False

Correct Answer

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Which equation depicts the relationship between the standardized and non-standardized regression coefficients?


A) Byx = byx(S2x/S2y)
B) B2yx = byx(Sx/Sy)
C) Byx = byx(Sx/Sy)
D) B2yx = byx(S2x/S2y)

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

Correct Answer

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In the absence of ties,Kendall's τ yields a closer approximation to the Pearson product moment correlation coefficient,ρ,than Spearman's ρs.

A) True
B) False

Correct Answer

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The order associated with a partial correlation indicates how many variables are being adjusted or controlled.

A) True
B) False

Correct Answer

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In bivariate regression,the null hypothesis is that no linear relationship exists between X and Y,or H0: β1 = 0.

A) True
B) False

Correct Answer

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Which of the following is a measure of nonmetric correlation?


A) Pearson product moment correlation
B) Spearman's rho
C) Kendall's tau
D) both B and C

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

Correct Answer

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R2 cannot decrease as more independent variables are added to the regression equation.

A) True
B) False

Correct Answer

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If an examination of the residuals indicates that the assumptions underlying linear regression are not met,the researcher can transform the variables in an attempt to satisfy the assumptions.

A) True
B) False

Correct Answer

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