11. Describe what the correlation coefficient tells us in simple linear regression. Specifically, what do certain values of r tell us? 12. Suppose for a simple linear regression model, the coefficient of determination is .85. How should we interpret this number? 13. Is it true that a high correlation between variables X and Y means that X causes Y? Please comment. 14. What does the conditional probability, P(A|B), equal to if the two events A and B are independent? 15. In the addition rule, why is the intersection probability subtracted from P(A) + P(B)