1. You want to conduct a simple linear regression to find out if grades in school predict whether a graduate is employed or unemployed. Why can't this be done?

a. Because more variables are needed.

b. Because the dependent variable is nominal rather than continuous.

c. Because there are too few degrees of freedom.

d. All of the above.

2. Which is NOT true of simple linear regression?

a. It can be used to identify predictors of continuous outcome variables.

b. It can be used to predict the outcome of a binary variable (e.g., pass/fail) with continuous variables.

c. It can be used to quantify a relationship between two continuous variables.

d. It can be used to model a linear relationship between variables.