1 Run a multiple regression in Excel with body fat as the de
1) Run a multiple regression (in Excel) with body fat as the dependent variable and skinfold, midarm and thigh as independent variables using the table below. Show the results. Comment on the predictive value of the results.
Skinfold
Thigh
Midarm
Body Fat
19.5
43.1
29.1
11.9
24.7
49.8
28.2
22.8
30.7
51.9
37
18.7
29.8
54.3
31.1
20.1
19.1
42.2
30.9
12.9
25.6
53.9
23.7
21.7
31.4
58.5
27.6
27.1
27.9
52.1
30.6
25.4
22.1
49.9
23.2
21.3
25.5
53.5
24.8
19.3
31.1
56.6
30
25.4
30.4
56.7
28.3
27.2
18.7
46.5
23
11.7
19.7
44.2
28.6
17.8
14.6
42.7
21.3
12.8
29.5
54.4
30.1
23.9
27.7
55.3
25.7
22.6
30.2
58.6
24.6
25.4
22.7
48.2
27.1
14.8
25.2
51
27.5
21.1
| Skinfold | Thigh | Midarm | Body Fat |
| 19.5 | 43.1 | 29.1 | 11.9 |
| 24.7 | 49.8 | 28.2 | 22.8 |
| 30.7 | 51.9 | 37 | 18.7 |
| 29.8 | 54.3 | 31.1 | 20.1 |
| 19.1 | 42.2 | 30.9 | 12.9 |
| 25.6 | 53.9 | 23.7 | 21.7 |
| 31.4 | 58.5 | 27.6 | 27.1 |
| 27.9 | 52.1 | 30.6 | 25.4 |
| 22.1 | 49.9 | 23.2 | 21.3 |
| 25.5 | 53.5 | 24.8 | 19.3 |
| 31.1 | 56.6 | 30 | 25.4 |
| 30.4 | 56.7 | 28.3 | 27.2 |
| 18.7 | 46.5 | 23 | 11.7 |
| 19.7 | 44.2 | 28.6 | 17.8 |
| 14.6 | 42.7 | 21.3 | 12.8 |
| 29.5 | 54.4 | 30.1 | 23.9 |
| 27.7 | 55.3 | 25.7 | 22.6 |
| 30.2 | 58.6 | 24.6 | 25.4 |
| 22.7 | 48.2 | 27.1 | 14.8 |
| 25.2 | 51 | 27.5 | 21.1 |
Solution
The Linear regression equatioon of the given data is
Body fat = 117.08 + 4.3341(Skinfold) + -2.8568(Thigh) + -2.1861Midarm
The Predictive values are
14.855,20.219,20.987,23.127,11.758,22.244,25.714,22.271,19.595,20.548,24.59624.992,15.009,13.672,11.812,23.727,22.974,26.786,18.526,20.488



