Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.2 * weight + 9
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Svorada
1
76 kgTonkov
2
70 kgSimon
5
70 kgJonker
6
69 kgArroyo
8
59 kgRous
9
70 kgVoskamp
10
75 kgMeinert-Nielsen
11
73 kgden Bakker
12
71 kgVirenque
14
65 kgHamburger
19
58 kgJeker
24
72 kgHervé
27
62 kgBouvard
29
70 kgJalabert
31
66 kgTchmil
34
75 kgKelly
36
77 kgZamana
39
74 kgCapelle
43
73 kgMattan
44
69 kgVan de Wouwer
49
66 kg
1
76 kgTonkov
2
70 kgSimon
5
70 kgJonker
6
69 kgArroyo
8
59 kgRous
9
70 kgVoskamp
10
75 kgMeinert-Nielsen
11
73 kgden Bakker
12
71 kgVirenque
14
65 kgHamburger
19
58 kgJeker
24
72 kgHervé
27
62 kgBouvard
29
70 kgJalabert
31
66 kgTchmil
34
75 kgKelly
36
77 kgZamana
39
74 kgCapelle
43
73 kgMattan
44
69 kgVan de Wouwer
49
66 kg
Weight (KG) →
Result →
77
58
1
49
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SVORADA Ján | 76 |
| 2 | TONKOV Pavel | 70 |
| 5 | SIMON François | 70 |
| 6 | JONKER Patrick | 69 |
| 8 | ARROYO Miguel | 59 |
| 9 | ROUS Didier | 70 |
| 10 | VOSKAMP Bart | 75 |
| 11 | MEINERT-NIELSEN Peter | 73 |
| 12 | DEN BAKKER Maarten | 71 |
| 14 | VIRENQUE Richard | 65 |
| 19 | HAMBURGER Bo | 58 |
| 24 | JEKER Fabian | 72 |
| 27 | HERVÉ Pascal | 62 |
| 29 | BOUVARD Gilles | 70 |
| 31 | JALABERT Laurent | 66 |
| 34 | TCHMIL Andrei | 75 |
| 36 | KELLY Sean | 77 |
| 39 | ZAMANA Cezary | 74 |
| 43 | CAPELLE Christophe | 73 |
| 44 | MATTAN Nico | 69 |
| 49 | VAN DE WOUWER Kurt | 66 |