1. You conduct a standard multiple regression analysis with two predictors (X1 and X2), which together account for 30% of the variability in the criterion (Y). If the semi-partial correlations with the criterion are .20 for X1 and .3for X2, how much of the variance in Y can be attributed uniquely to X2?

a. 9%

b. Impossible to say without further information

c. 17%

d. 4%

2. You work in the human resources department of a large organisation. Your current project is to investigate the predictors of gender discrimination against women in the workplace. Previous researchsuggests that people who are more authoritarian are more likely to discriminate against women in the workplace. However, you hypothesise that this relationship should be attenuated among people who work for a female boss. If you measured these variables and tested these moderated relationships, which set of simple slopes for authoritarianism would most clearly support your hypothesis?

a. Employees of a female boss: b= .15, p= .024; Employees of a male boss: b = .42, p < .001.

b. Employees of a female boss: b= -.15, p= .024; Employees of a male boss: b = -.42, p < .001.

c. Employees of a male boss: b= .15, p= .024; Employees of a female boss: b = .42, p < .001.

d. Employees of a male boss: b= -.15, p= .024; Employees of a female boss: b = -.42, p < .001.

3. Which of the following statements about systematic variance in multiple regression is true?

a. Systematic variance in multiple regression is all variance that is not due tochance.

b. Systematic variance in regression is visually represented by the flatness of theline (more flat = more systematic variance in the data).

c. Systematic variance in multiple regression is the deviation of predicted scores, Yhat, from the mean,Y bar.

d. Systematicvariance in multiple regression is the deviation of Ybar(the mean)from Y (the observed score).

4. A researcher conducts a standard multiple regression analysis to predict weight loss as a function of the following predictors: eating habits (sr squared = .20), exercise habits (sr squared = .10),and gender (sr squared = .30). If the total variance accounted for in the dependent measure is 60%, what is the partial correlation squared for eating habits?

a. .50 (i.e., .20 / .40)

b. .20 (i.e., .20 / 1.00)

c. Cannot be computed without knowing the shared variance.

d. .33 (i.e., .20 / .60)

5. Two researchers are analysing the exact same dataset, using multiple regression analyses to predict depression from anxiety and neuroticism. Paul finds that anxiety is a significant predictor while neuroticism is not. Jeremy finds that both anxiety and neuroticism aresignificant predictors. Assuming moderately inter-correlated independent variables, which of the following differences in analysis strategy could explain the results?

a. Paul conducted a hierarchical multiple regression with neuroticism in Block 1 and anxiety in Block 2. Jeremy conducted a standard multiple regression.

b. Differences in analysis strategy cannot reconcile these two results. One researcher is wrong.

c. Paul conducted a standard multiple regression while Jeremy did a hierarchical multiple regression with anxiety in Block 1 and neuroticism in Block 2.

d. Paul conducted a standard multiple regression while Jeremy conducted a hierarchical multiple regression with neuroticism in Block 1 and anxiety in Block 2.