In the discussion area of the course for Week 5, there is an attachment showing the regression results for Problem 24 on Page 493 in your textbook. The instructor has placed a letter, A through G, on 7 of the values in the regression results and also added 8 questions labeled H through O. Choose one of the letters and explain as best you can what that number means with respect to the regression results or answer one of the 8 written questions. When you post your solution, please title your response "Letter ?" replacing the question mark with the letter you have chosen from the file. Please ensure you do not duplicate a response from a fellow student.

A B C D E F G H SUMMARY OUTPUT H: What is the general form of the regression equation required for this problem? (HINT: y = bo + b1x is the general form of the regression equation for one independent variable) Regression Statistics 1: Given the information below, what is the regression equation which models monthly Multiple R 0.958310415 heating costs as a function of the four variables below? (this equation should make use R Square 0.918358852 of the values related to letters C, D, E, F, and G below) 6 Adjusted R Square A 0.896587879 J: Why is the Adjusted R Squared value a better measure of goodness of fit than R Standard Error 34.04777467 Squared? For questions K through O, I have given you values of x1, x2, x3, and x4 per the Variables 8 Observations B 20 chart below. The value which follows the ..... in each set of parenthesis is the actual heating cost of the home with the characteristics given. For the data given in K through O 10 ANOVA below, choose one set of data and compute the residual. 11 df K: (29, 5, 4, 1900.....198) 12 Regression 4 L: (8, 6, 7, 2800...... 355) 13 Residual 15 M: (6, 10, 9, 2500.... 291) 14 Total 19 N: (22, 8, 11, 2000...230) 0: (59, 5, 9, 1300..... 42) 15 16 Coefficients Standard Error t Stat P-value Lower 95% Upper 95%ower 95.09 Upper 95.0% 17 Intercept C -29.21827117 97.20142088 -0.3006 0.767849 -236.3981955 177.9617 -236.398 177.9616532 18 X Variable 1 D -1.178281783 0.85630427 -1.37601 0.189017 -3.003451129 0.646888 -3.00345 0.646887563 19 X Variable 2 E -6.89508123 3.55049134 -1.94201 0.071157 -14.46277438 0.672612 -14.4628 0.672611923 20 X Variable 3 F 3.212893373 2.631592842 1.220893 0.240971 -2.396213993 8.822001 -2.39621 8.82200074 21 X Variable 4 G 0.148933656 0.029341618 5.07585 0.000137 0.086393477 0.211474 0.086393 0.211473834 22 Variables: 23 y = average heating cost 24 x1 = temp in winter 25 x2 = amt of insulation 26 x3 = age of furnace 27 x4 = size of house (SF) 28