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Use the data BELOW for running linear regression. Consider the Weight of the fish to be the dependent variable, and the rest of the variables

Use the data BELOW for running linear regression.

Consider the Weight of the fish to be the dependent variable, and the rest of the variables as independent variables.

After running the regression in Excel, define the output in 200 words.

Also, predict the value of weight for row numbers 150 to 160.

Weight Length1 Length2 Length3 Height Width
242 23.2 25.4 30 11.52 4.02
290 24 26.3 31.2 12.48 4.3056
340 23.9 26.5 31.1 12.3778 4.6961
363 26.3 29 33.5 12.73 4.4555
430 26.5 29 34 12.444 5.134
450 26.8 29.7 34.7 13.6024 4.9274
500 26.8 29.7 34.5 14.1795 5.2785
390 27.6 30 35 12.67 4.69
450 27.6 30 35.1 14.0049 4.8438
500 28.5 30.7 36.2 14.2266 4.9594
475 28.4 31 36.2 14.2628 5.1042
500 28.7 31 36.2 14.3714 4.8146
500 29.1 31.5 36.4 13.7592 4.368
340 29.5 32 37.3 13.9129 5.0728
600 29.4 32 37.2 14.9544 5.1708
600 29.4 32 37.2 15.438 5.58
700 30.4 33 38.3 14.8604 5.2854
700 30.4 33 38.5 14.938 5.1975
610 30.9 33.5 38.6 15.633 5.1338
650 31 33.5 38.7 14.4738 5.7276
575 31.3 34 39.5 15.1285 5.5695
685 31.4 34 39.2 15.9936 5.3704
620 31.5 34.5 39.7 15.5227 5.2801
680 31.8 35 40.6 15.4686 6.1306
700 31.9 35 40.5 16.2405 5.589
725 31.8 35 40.9 16.36 6.0532
720 32 35 40.6 16.3618 6.09
714 32.7 36 41.5 16.517 5.8515
850 32.8 36 41.6 16.8896 6.1984
1000 33.5 37 42.6 18.957 6.603
920 35 38.5 44.1 18.0369 6.3063
955 35 38.5 44 18.084 6.292
925 36.2 39.5 45.3 18.7542 6.7497
975 37.4 41 45.9 18.6354 6.7473
950 38 41 46.5 17.6235 6.3705
40 12.9 14.1 16.2 4.1472 2.268
69 16.5 18.2 20.3 5.2983 2.8217
78 17.5 18.8 21.2 5.5756 2.9044
87 18.2 19.8 22.2 5.6166 3.1746
120 18.6 20 22.2 6.216 3.5742
0 19 20.5 22.8 6.4752 3.3516
110 19.1 20.8 23.1 6.1677 3.3957
120 19.4 21 23.7 6.1146 3.2943
150 20.4 22 24.7 5.8045 3.7544
145 20.5 22 24.3 6.6339 3.5478
160 20.5 22.5 25.3 7.0334 3.8203
140 21 22.5 25 6.55 3.325
160 21.1 22.5 25 6.4 3.8
169 22 24 27.2 7.5344 3.8352
161 22 23.4 26.7 6.9153 3.6312
200 22.1 23.5 26.8 7.3968 4.1272
180 23.6 25.2 27.9 7.0866 3.906
290 24 26 29.2 8.8768 4.4968
272 25 27 30.6 8.568 4.7736
390 29.5 31.7 35 9.485 5.355
270 23.6 26 28.7 8.3804 4.2476
270 24.1 26.5 29.3 8.1454 4.2485
306 25.6 28 30.8 8.778 4.6816
540 28.5 31 34 10.744 6.562
800 33.7 36.4 39.6 11.7612 6.5736
1000 37.3 40 43.5 12.354 6.525
55 13.5 14.7 16.5 6.8475 2.3265
60 14.3 15.5 17.4 6.5772 2.3142
90 16.3 17.7 19.8 7.4052 2.673
120 17.5 19 21.3 8.3922 2.9181
150 18.4 20 22.4 8.8928 3.2928
140 19 20.7 23.2 8.5376 3.2944
170 19 20.7 23.2 9.396 3.4104
145 19.8 21.5 24.1 9.7364 3.1571
200 21.2 23 25.8 10.3458 3.6636
273 23 25 28 11.088 4.144
300 24 26 29 11.368 4.234
5.9 7.5 8.4 8.8 2.112 1.408
32 12.5 13.7 14.7 3.528 1.9992
40 13.8 15 16 3.824 2.432
51.5 15 16.2 17.2 4.5924 2.6316
70 15.7 17.4 18.5 4.588 2.9415
100 16.2 18 19.2 5.2224 3.3216
78 16.8 18.7 19.4 5.1992 3.1234
80 17.2 19 20.2 5.6358 3.0502
85 17.8 19.6 20.8 5.1376 3.0368
85 18.2 20 21 5.082 2.772
110 19 21 22.5 5.6925 3.555
115 19 21 22.5 5.9175 3.3075
125 19 21 22.5 5.6925 3.6675
130 19.3 21.3 22.8 6.384 3.534
120 20 22 23.5 6.11 3.4075
120 20 22 23.5 5.64 3.525
130 20 22 23.5 6.11 3.525
135 20 22 23.5 5.875 3.525
110 20 22 23.5 5.5225 3.995
130 20.5 22.5 24 5.856 3.624
150 20.5 22.5 24 6.792 3.624
145 20.7 22.7 24.2 5.9532 3.63
150 21 23 24.5 5.2185 3.626
170 21.5 23.5 25 6.275 3.725
225 22 24 25.5 7.293 3.723
145 22 24 25.5 6.375 3.825
188 22.6 24.6 26.2 6.7334 4.1658
180 23 25 26.5 6.4395 3.6835
197 23.5 25.6 27 6.561 4.239
218 25 26.5 28 7.168 4.144
300 25.2 27.3 28.7 8.323 5.1373
260 25.4 27.5 28.9 7.1672 4.335
265 25.4 27.5 28.9 7.0516 4.335
250 25.4 27.5 28.9 7.2828 4.5662
250 25.9 28 29.4 7.8204 4.2042
300 26.9 28.7 30.1 7.5852 4.6354
320 27.8 30 31.6 7.6156 4.7716
514 30.5 32.8 34 10.03 6.018
556 32 34.5 36.5 10.2565 6.3875
840 32.5 35 37.3 11.4884 7.7957
685 34 36.5 39 10.881 6.864
700 34 36 38.3 10.6091 6.7408
700 34.5 37 39.4 10.835 6.2646
690 34.6 37 39.3 10.5717 6.3666
900 36.5 39 41.4 11.1366 7.4934
650 36.5 39 41.4 11.1366 6.003
820 36.6 39 41.3 12.4313 7.3514
850 36.9 40 42.3 11.9286 7.1064
900 37 40 42.5 11.73 7.225
1015 37 40 42.4 12.3808 7.4624
820 37.1 40 42.5 11.135 6.63
1100 39 42 44.6 12.8002 6.8684
1000 39.8 43 45.2 11.9328 7.2772
1100 40.1 43 45.5 12.5125 7.4165
1000 40.2 43.5 46 12.604 8.142
1000 41.1 44 46.6 12.4888 7.5958
200 30 32.3 34.8 5.568 3.3756
300 31.7 34 37.8 5.7078 4.158
300 32.7 35 38.8 5.9364 4.3844
300 34.8 37.3 39.8 6.2884 4.0198
430 35.5 38 40.5 7.29 4.5765
345 36 38.5 41 6.396 3.977
456 40 42.5 45.5 7.28 4.3225
510 40 42.5 45.5 6.825 4.459
540 40.1 43 45.8 7.786 5.1296
500 42 45 48 6.96 4.896
567 43.2 46 48.7 7.792 4.87
770 44.8 48 51.2 7.68 5.376
950 48.3 51.7 55.1 8.9262 6.1712
1250 52 56 59.7 10.6863 6.9849
1600 56 60 64 9.6 6.144
1550 56 60 64 9.6 6.144
1650 59 63.4 68 10.812 7.48
6.7 9.3 9.8 10.8 1.7388 1.0476
7.5 10 10.5 11.6 1.972 1.16
7 10.1 10.6 11.6 1.7284 1.1484
10.4 11 12 2.196 1.38
10.7 11.2 12.4 2.0832 1.2772
10.8 11.3 12.6 1.9782 1.2852
11.3 11.8 13.1 2.2139 1.2838
11.3 11.8 13.1 2.2139 1.1659
11.4 12 13.2 2.2044 1.1484
11.5 12.2 13.4 2.0904 1.3936
11.7 12.4 13.5 2.43 1.269
12.1 13 13.8 2.277 1.2558
13.2 14.3 15.2 2.8728 2.0672
13.8 15 16.2 2.9322 1.8792

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