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 = -1.4 * weight + 128
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
De Schuyteneer
1
74 kgL'Hote
3
67 kgBrennan
4
68 kgChamberlain
5
74 kgScheldeman
13
66 kgSolen
15
67 kgHemeryck
18
72 kgSmit
24
59 kgŁątkowski
25
68 kgWiggins
28
75 kgPera
37
68 kgSchaper
41
69 kgMolenaar
43
68 kgRemijn
48
68 kgSkok
53
65 kgSchoofs
56
68 kgOmrzel
57
62 kgDe Vos
59
78 kgPeace
60
64 kgBush
68
58 kg
1
74 kgL'Hote
3
67 kgBrennan
4
68 kgChamberlain
5
74 kgScheldeman
13
66 kgSolen
15
67 kgHemeryck
18
72 kgSmit
24
59 kgŁątkowski
25
68 kgWiggins
28
75 kgPera
37
68 kgSchaper
41
69 kgMolenaar
43
68 kgRemijn
48
68 kgSkok
53
65 kgSchoofs
56
68 kgOmrzel
57
62 kgDe Vos
59
78 kgPeace
60
64 kgBush
68
58 kg
Weight (KG) →
Result →
78
58
1
68
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE SCHUYTENEER Steffen | 74 |
| 3 | L'HOTE Antoine | 67 |
| 4 | BRENNAN Matthew | 68 |
| 5 | CHAMBERLAIN Oscar | 74 |
| 13 | SCHELDEMAN Xander | 66 |
| 15 | SOLEN Keije | 67 |
| 18 | HEMERYCK Wout | 72 |
| 24 | SMIT Stan | 59 |
| 25 | ŁĄTKOWSKI Dawid | 68 |
| 28 | WIGGINS Ben | 75 |
| 37 | PERA Marceli | 68 |
| 41 | SCHAPER Joeri | 69 |
| 43 | MOLENAAR Ko | 68 |
| 48 | REMIJN Senna | 68 |
| 53 | SKOK Marcel | 65 |
| 56 | SCHOOFS Jasper | 68 |
| 57 | OMRZEL Jakob | 62 |
| 59 | DE VOS Seppe | 78 |
| 60 | PEACE Oliver | 64 |
| 68 | BUSH Jacob | 58 |