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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
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: 300 200 100 Residual -300 600 1000 1700 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
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