1. You run a regression of Y on two variables, X, and X2. You find a p-value of .04 for X, and a p-value of . 199 for X2. Which of the below statements is definitely true?~ (A) X2 has a lower t-statistic than X1.~ (B) We can reject the null hypothesis that X2 has no effect on Y. (C) The adjusted R-squared will be higher in a regression of Y on X, and X2 than in a regression of Y on X1.~ (D) (A) and (B) are both true. ~ (E) None of the above are true.~ 2. What is perfect multicollinearity? Give an example of it.~