Questions 11 – 12 (3 points each): Use the following scenario to answer the questions. Consider the residual plots below. What do they tell you about the relationship of the variables in a simple linear regression analysis? Each residual plot matches a specific violation or no violations. Plot A Plot B Plot C Plot D 11. Which plot provides evidence the variance is not the same for all values of the explanatory variable? A. Plot A B. Plot B C. Plot C D. Plot D Answer: <Write just the letter of your answer here> 12. Which plot provides evidence the relationship between the response and predictors is not linear? A. Plot A B. Plot B C. Plot C D. Plot D
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QUESTION 17 The process of creating a linear model of bivariate data. a. Least Squares Regression b. Variability c. Extrapolation d. Residual analysis QUESTION 18 The "Portion of Variability" is also known as the a. Correlation coefficient b. Regression line c. Fitted Value d. Coefficient of determination QUESTION 19 Linear regression models may not always acccurately reflect the pattern of data from which they are made a. TRUE b. FALSE QUESTION 20 The following data relates the time a student spends on an online test with the final score: (8 points, 12 minutes), (22 points, 34 minutes), (33 points, 72 minutes), (40 points, 120 minutes). Use your TI83 to determine the linear regression equation, and choose the best response below a. Points = 9(minutes) - 0.28 b. Points = 24(minutes) +3.2 c. Points = 0.28(minutes) + 9 d. Points = -3.2(minutes) +24
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