(a) (5%) Multiplying the dependent variable by 1oo and the explanatory variable by 1,000 makes the regression R2 1o times larger.

(d) (5%) In the context of a controlled experiment, consider the simple linear regression model , where Yi is the outcome, Xi is the randomly assigned treatment level, and u: contains all the additional determinants of the outcome. Then the OLS estimator of B will be inconsistent since there are omitted variables present.