1. Which of the following is not an assumption for simple linear regression: a. The observations are independent. b. The relationship between the exposure X and the outcome Y is linear. c. The outcome variable Y is normally distributed. d. The residuals are normally distributed. e. The residuals have constant variance. 2. What is the most likely interpretation of the residual plot shown below: 309 Residuals -300 -200 -100 200 400 800 800 1000 1200 Fitted Values a. No regression assumptions are violated. b. The linearity assumption is likely violated. c. The constant variance assumption is likely violated. d. The normality of residuals is likely violated. e. The independence of observations is likely violated