Test Bank Statistics A Tool for Social Research and Data Analysis 11th Edition By Joseph Healey, Christopher Donoghue

Test Bank for Statistics A Tool
for Social Research and Data
Analysis 11th Edition By Joseph
Healey, Christopher Donoghue
(All Chapters 1-15, 100%
Original Verified, A+ Grade)
All Chapters Arranged Reverse: 15-1
This is The Only Original and
Complete Test Bank for 11th
Edition, All Other Files in the
Market are Fake/Old/Wrong
Edition.

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Chapter 15 - Partial Correlation and Multiple Regression and Correlation

1. Partial and multiple correlation are based on
a. bivariate tables.
b. random sampling.
c. the Analysis of Variance.
d. Pearson's r.
ANSWER: d

2. After controlling for Z, the partial correlation coefficient between X and Y is the same value as the bivariate Pearson's r.
This pattern would be taken as evidence of
a. a direct relationship between X and Y.
b. a spurious relationship between X and Z.
c. interaction between X, Y, and Z.
d. an intervening relationship between X and Y, interaction between X and Z.
ANSWER: a

3. Which of the following would be consistent with a direct relationship between X and Y?
a. Pearson's r is .17, partial correlation coefficient is .16.
b. Pearson's r is .78, partial correlation coefficient is .50.
c. Pearson's r is .10, partial correlation coefficient is .20.
d. Pearson's r is .00, partial correlation coefficient is .00.
ANSWER: a

4. The partial correlation coefficient between X and Y after controlling for Z shows a much weaker relationship than the
Pearson's r computed for X and Y. This would be taken as evidence of a(n) _____________ relationship between X and Y.
a. direct
b. spurious or intervening
c. interactive
d. positive
ANSWER: b

5. Which of the following would be consistent with a spurious relationship between X and Y?
a. Pearson's r is .37, partial correlation coefficient is .36.
b. Pearson's r is .78, partial correlation coefficient is .30.
c. Pearson's r is -.10, partial correlation coefficient is -.15.
d. Pearson's r is .00, partial correlation coefficient is .00.
ANSWER: b

6. A Pearson's r calculated for a bivariate relationship is .50. After controlling for Z, the partial correlation coefficient is .
07. This outcome would be evidence of a(n) _____________ relationship between X and Y.
a. direct
b. spurious or intervening
c. interactive
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Chapter 15 - Partial Correlation and Multiple Regression and Correlation

d. positive
ANSWER: b

7. The partial correlation coefficient will reveal an interactive relationship between three variables when
a. the partial correlation coefficient drops to zero.
b. the partial is greater in value than the zero-order correlation coefficient.
c. the partial correlation coefficient is negative.
d. none of the answer choices. Partial correlation will not detect interaction.
ANSWER: d

8. After controlling for Z, a researcher finds evidence of a spurious relationship between X and Y. What step should be
taken next?
a. Z should become the new independent variable.
b. Z should become the new dependent variable.
c. Z should be disregarded and a new control variable should be selected.
d. Z should be disregarded and a new independent variable should be selected.
ANSWER: a

9. Which of the following would be consistent with a causal model in which X and Z had independent and uncorrelated
causal effects on Y?
a. Pearson's r is .37, partial correlation coefficient is .36.
b. Pearson's r is .30, partial correlation coefficient is .50.
c. Pearson's r is -.10, partial correlation coefficient is -.01.
d. Pearson's r is -.41 partial correlation coefficient is .00.
ANSWER: b

10. An analysis of the relationship between income and education found a correlation of 0.43. After controlling for age,
the partial correlation was 0.43. The relationship between income and education seems to be
a. direct.
b. spurious.
c. intervening.
d. interactive.
ANSWER: a

11. The 'first-order' partial correlation coefficient measures
a. the bivariate relationship between X and Y.
b. the relationship between the dependent and control variables.
c. the bivariate relationship after controlling for the third variable.
d. the bivariate relationship after controlling for the fourth variable.
ANSWER: c

12. When examining a bivariate relationship using Pearson’s r, the partial correlation computed while using one control
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Chapter 15 - Partial Correlation and Multiple Regression and Correlation

variable is called
a. the first-order partial correlation coefficient.
b. the second-order partial correlation coefficient.
c. the intervening partial correlation coefficient.
d. the multiple partial correlation coefficient.
ANSWER: a

13. With two independent variables, the least-squares multiple regression equation would be
a. Y = a + bX
b. Y = a + b + X1 + X²
c. Y = b1X1 + b2X2
d. Y = a + b1X1 + b2X2
ANSWER: d

14. In the multiple regression equation, the symbol b stands for the
a. partial slope.
b. slope of X and Y.
c. beta slope of X and Z.
d. Y intercept.
ANSWER: a

15. One advantage of the technique of multiple regression is that it allows the ___________ effects of the ____________
variables to be investigated.
a. combined, independent
b. separate, independent
c. combined, control
d. separate, dependent
ANSWER: b

16. The regression equation for a particular relationship is Y = 10 + (.78) X 1 + (-.54) X2. Which conclusion is consistent
with this equation?
a. The Y intercept is zero.
b. Neither independent variable has an important relationship with Y.
c. A value for a (the Y intercept) needs to be calculated before the equation can be
interpreted.
d. The two independent variables have opposite effects on the dependent.
ANSWER: d

17. In the least-squares multiple regression equation, the unstandardized partial slopes show
a. the point where the line crosses the Y axis.
b.the combined effects of all independents on the dependent variable.

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