Choose EITHER Option A or Option B for your initial post. Please respond to two or more of the posts by Sunday night. At least one of those responses should be to a person who picked a different option than you did. Option A: An SRS of apartment listings in a large northeastern city comparing monthly rent ($) versus size ( [ft] ^2) yields following computer output: 1,800 An SRS of apartment 150 listings in a large 1,500 northeastern city 75 Residuals Rent 1,200 comparing monthly rent ($) versus size 006 (ft?) yields the following computer 600 output: 1,000 1,250 1,500 1,750 2,000 900 1.200 1,500 2,000 Size Predicted Rent Variable Coef s.e. Coef t (a) Is a linear model Constant -311.341 117.6 -2.65 0.0294 Size 1.07707 0.09047 11.9 0.0801 appropriate for these data? Explain. s . 102.4 R-squ = 94.7% R-squ(adj> = 94.08 (b) Interpret the slope of the regression line. (c) Interpret , in context. 1. Is a linear model appropriate for these data? Explain 2. Interpret the slope of the regression line. [^ ] 3. Interpret r^2 in context. Option B: The calories and sugar content per serving size of ten brands of breakfast cereal are fitted with a least squares regression line with computer outputs: The calories and sugar content per serving size of ten brands of breakfast cereal are fitted Residuals with a least squares regression line with computer output: (a) Is a line an appropriate model. Explain. 6 12 15 Sugar (g) (b) Interpret the slope of the regression line in context. Dependent variable is: Calories (c) Interpret the y-intercept of the regression s = 6.544 R-sq =77.9% R-sq (adj) =75.2% Source df MS F line in context. Regression 1 1210.08 1210.08 28.3 Residual 342.547 42.8 184 (d) What are the predicted calories for a Variable Coef s.e. Coef Constant 78.3275 4.117 19 9.0ea1 brand with 10 g sugar per serving? Sugar 2.74239 0.5150 5.32 0.0907 (e) What were the actual calories for the brand with 10 g sugar per serving