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- A Pearson correlation of r ndash 0 85 indicates that a

. A Pearson correlation of r = –0.85 indicates that a graph of the data would show __________.

A) points clustered close to a line that slopes up to the right

B) points clustered close to a line that slopes down to the right

C) points widely scattered around a line that slopes up to the right

D) points widely scattered around a line that slopes down to the right

2. A set of n = 5 pairs of X and Y values has X = 10, Y = 20, and XY = 60. For this set of scores, the value of SP is __________.

A) –20

B) –28

C) 20

D) 60

3. A set of n = 5 pairs of X and Y values has SSX = 5, SSY = 20 and SP = 8. For these data, the Pearson correlation is __________.

A) r = 8/100 = 0.08

B) r = 8/10 = 0.80

C) r = 8/25 = 0.32

D) r = 8/20 = 0.40

4. Suppose the correlation between height and weight for adults is +0.80. What proportion (or percent) of the variability in weight can be explained by the relationship with height?

A) 80%

B) 64%

C) 100 – 80 = 20%

D) 40%

5. Under what circumstances should the Spearman correlation be used?

A) The researcher's primary interest is the linearity of the relationship.

B) The original data are measured on an ordinal scale of measurement.

C) The Pearson is too difficult to compute.

D) All of the other options are appropriate circumstances for the Spearman correlation.

6. In what situations can the point-biserial correlation be used?

A) When an independent-measures t test would also be appropriate

B) When both X and Y are ranks

C) When a single-sample t test would also be appropriate

D) When both X and Y are dichotomous

7. In the general linear equation, Y = bX + a, what is the value of b called?

A) X intercept

B) Y intercept

C) correlation between X and Y

D) Slope

8. The regression equation is determined by minimizing __________.

A) the total error between the X and Y values

B) the total error between the predicted Y values and the actual Y values

C) the total squared error between the X and the Y values

D) the total squared error between the predicted Y values and the actual Y values

9. Which of the following points is on the line defined by the equation, Y = 4X + 2?

A) X = 0 and Y = 2

B) X = 1 and Y = 4

C) X = 2 and Y = 8

D) X = 3 and Y = 9

10. If the correlation between X and Y is r = .30 and SSY = 100, how much of the Y variability is predicted by the regression equation? SSregression = _____ points.

A) 9

B) 30

C) 70

D) 91

11. A multiple regression equation with two predictor variables produces R2 = .10 and SSY = 100. What portion of the variability for the Y scores is predicted by the equation? SSregression = _____ point(s).

A) 10

B) 1

C) 90

D) 99

12. For either linear regression or multiple regression, the standard error of estimate can be computed as:

A) the square root of MSresidual

B) MSresidual/(n – 2)

C) the square root of MSregression

D) MSregression/(n – 2)

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