can any1 plz guide me here!!!!!!R-codes help

kal

New Member
#1
In your data set, there are 40 observations and the first column is the energy level, the second to the fifth columns are the four predictor variables. (note: The data includes the row names.. be sure to add an additional options when you use read.table.) Make sure that you at least answer the following questions.
(1) What is the initial model fitting? How does the diagnostic plots suggest? Nonlinearity or Outlier?
(2) Please repeat process several times if necessary and please provide the explanation on why you would like to perform such an analysis.

energy plastic paper garbage water
1 0.04941409 19.27968 24.85155 50.15978 43.83291
2 0.05410184 18.11970 21.80812 38.07998 46.39271
3 0.04748939 18.30420 16.83253 41.76366 39.69790
4 0.05560370 18.69824 20.25168 43.84492 48.14140
5 0.05453683 19.55979 15.81350 38.23824 46.09442
6 0.04776393 18.28630 17.24211 38.77347 39.00607
7 0.05287514 18.54815 19.37288 38.41760 44.49702
8 0.05376990 18.62130 21.29705 40.86475 45.94603
9 0.04132912 18.92104 23.66630 50.53307 35.19763
10 0.04896791 18.73154 24.36222 46.29683 43.06099
11 0.06777104 18.96511 15.55514 53.02314 54.93114
12 0.04853184 19.19621 25.80107 49.21492 43.32100
13 0.04760754 18.09780 17.47276 50.13967 40.23519
14 0.06316126 18.00965 17.24616 44.18862 51.78778
15 0.06689322 18.72469 17.69729 48.04931 54.17011
16 0.05239075 19.91825 19.69940 48.69077 46.58555
17 0.05846729 19.62446 15.16243 39.22130 48.84222
18 0.06617241 18.81659 20.96893 38.46538 54.11556
19 0.06589357 18.59158 19.61841 45.73023 54.16365
20 0.04895390 18.25671 22.25965 38.23486 41.62382
21 0.04875441 19.08020 21.24821 40.84757 41.65320
22 0.04454984 19.04794 16.22722 40.66196 36.36076
23 0.05806374 19.24434 21.72356 36.81140 49.71746
24 0.05345400 18.33147 21.80594 57.47787 47.50012
25 0.05579565 18.42624 23.39644 48.87384 48.87120
26 0.04417196 19.04227 15.61967 53.22327 36.94410
27 0.06334864 18.56095 18.31560 39.09022 51.68754
28 0.04971155 19.95981 15.15151 39.00839 42.29859
29 0.04761092 19.09373 15.92130 55.29147 41.00864
30 0.05664214 18.06199 24.17719 45.99275 49.12484
31 0.06649041 19.37805 18.15780 47.89173 54.50214
32 0.05987653 18.73966 18.61841 43.87242 50.38125
33 0.04241349 18.65338 22.64840 43.08400 35.07342
34 0.05420250 19.07948 19.84301 42.91650 46.22428
35 0.04648549 18.97119 15.94994 43.84171 38.00643
36 0.05189944 18.65211 16.44131 35.49899 42.71516
37 0.05031317 18.07442 21.67337 46.78543 44.02167
38 0.04250620 19.51416 25.07257 50.24567 37.50337
39 0.05659856 18.85407 25.80401 42.54836 49.38128
40 0.05327809 18.05899 15.79958 47.48874 44.31198