For the data set, work out the details of the Stepwiseregression, and Backward model selection for the data set Hospital Complete from chapter 5 I would like you to not use SAS option stepwise or backward in the code, but rather go through the steps of the algorithmsyourselves In other words, run as many regression models as needed Indicate the variables you include in exclude from the model, on what basis, and the final model you have arrived at Xray BedDays Length Load Pop Hours 2463 472 92 4 45 15 57 18 0 566 52 2048 1339 75 6 92 44 02 9 5 696 82 3940 620 25 4 28 20 42 12 8 1033 15 6505 568 33 3 90 18 74 36 7 1603 62 5723 1497 60 5 50 49 20 35 7 1611 37 11520 1365 83 4 60 44 92 24 0 1613 27 5779 1687 00 5 62 55 48 43 3 1854 17 5969 1639 92 5 15 59 28 46 7 2160 55 8461 2872 33 6 18 94 39 78 7 2305 58 20106 3655 08 6 15 128 02 180 5 3503 93 13313 2912 00 5 88 96 00 60 9 3571 89 10771 3921 00 4 88 131 42 103 7 3741 40 15543 3865 67 5 50 127 21 126 8 4026 52 36194 7684 10 7 00 252 90 157 7 10343 81 34703 12446 33 10 78 409 20 169 4 11732 17 39204 14098 40 7 05 463 70 331 4 15414 94 86533 15524 00 6 35 510 22 371 6 18854 45

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For the data set, work out the details of the Stepwiseregression, and Backward model selection for the data set Hospital Complete from chapter 5. I

For the data set, work out the details of the Stepwiseregression, and Backward model selection for the data set Hospital Complete from chapter 5. I would like you to not use SAS option "stepwise" or "backward" in the code, but rather go through the steps of the algorithmsyourselves. In other words, run as many regression models as needed. Indicate the variables you include in/exclude from the model, on what basis, and the final model you have arrived at.

Xray	BedDays	Length	Load	Pop	Hours
2463	472.92	4.45	15.57	18.0	566.52
2048	1339.75	6.92	44.02	9.5	696.82
3940	620.25	4.28	20.42	12.8	1033.15
6505	568.33	3.90	18.74	36.7	1603.62
5723	1497.60	5.50	49.20	35.7	1611.37
11520	1365.83	4.60	44.92	24.0	1613.27
5779	1687.00	5.62	55.48	43.3	1854.17
5969	1639.92	5.15	59.28	46.7	2160.55
8461	2872.33	6.18	94.39	78.7	2305.58
20106	3655.08	6.15	128.02	180.5	3503.93
13313	2912.00	5.88	96.00	60.9	3571.89
10771	3921.00	4.88	131.42	103.7	3741.40
15543	3865.67	5.50	127.21	126.8	4026.52
36194	7684.10	7.00	252.90	157.7	10343.81
34703	12446.33	10.78	409.20	169.4	11732.17
39204	14098.40	7.05	463.70	331.4	15414.94
86533	15524.00	6.35	510.22	371.6	18854.45