We want to predict a person's happiness from the following variables: degree of optimism, success in school, and number of close friends. What type of statistical test can tell us whether these variables predict a person's happiness?
a. factorial ANOVA
b. multiple comparison
c. regression
d. multiple regression
Question 2A multiple regression analysis was used to test the values of visual acuity, swing power, and cost of clubs for predicting golf scores. The regression analysis showed that visual acuity and swing power predicted significant amounts of the variability in golf scores, but cost of clubs did not. What can be concluded from these results?
a. Cost of clubs and golf scores are not correlated.
b. Cost of clubs adds predictive value above and beyond the predictive value of visual acuity and swing power.
c. The regression coefficient of cost of clubs is equal to zero.
d. Removing cost of clubs from the overall model will not reduce the model's R2 value significantly.
Question 3The example in the text predicting distress in cancer patients used distress at an earlier time as one of the predictors. This was done
a. because the authors wanted to be able to report a large correlation.
b. because the authors wanted to see what effect earlier distress had.
c. because the authors wanted to look at the effects of self-blame after controlling for initial differences in distress.
d. because the authors didn't care about self-blame, but wanted to control for it.
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