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 + 44
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Van Moer
2
79 kgTaminiaux
8
74 kgMolly
10
61 kgApers
16
70 kgVerschaeve
17
62 kgAular
18
65 kgLoockx
20
70 kgJacobs
22
78 kgVan Nuffelen
24
64 kgColman
26
73 kgDe Maeght
29
79 kgVandebosch
33
69 kgDe Decker
34
68 kgWeemaes
35
73 kgVanoverberghe
41
74 kgVoigt
45
69 kgWillems
47
67 kgBastiaens
48
76 kgRombouts
56
63 kg
2
79 kgTaminiaux
8
74 kgMolly
10
61 kgApers
16
70 kgVerschaeve
17
62 kgAular
18
65 kgLoockx
20
70 kgJacobs
22
78 kgVan Nuffelen
24
64 kgColman
26
73 kgDe Maeght
29
79 kgVandebosch
33
69 kgDe Decker
34
68 kgWeemaes
35
73 kgVanoverberghe
41
74 kgVoigt
45
69 kgWillems
47
67 kgBastiaens
48
76 kgRombouts
56
63 kg
Weight (KG) →
Result →
79
61
2
56
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VAN MOER Brent | 79 |
| 8 | TAMINIAUX Lionel | 74 |
| 10 | MOLLY Kenny | 61 |
| 16 | APERS Ruben | 70 |
| 17 | VERSCHAEVE Viktor | 62 |
| 18 | AULAR Orluis | 65 |
| 20 | LOOCKX Lander | 70 |
| 22 | JACOBS Johan | 78 |
| 24 | VAN NUFFELEN Glen | 64 |
| 26 | COLMAN Alex | 73 |
| 29 | DE MAEGHT Dorian | 79 |
| 33 | VANDEBOSCH Toon | 69 |
| 34 | DE DECKER Alfdan | 68 |
| 35 | WEEMAES Sasha | 73 |
| 41 | VANOVERBERGHE Mathias | 74 |
| 45 | VOIGT Eric | 69 |
| 47 | WILLEMS Thimo | 67 |
| 48 | BASTIAENS Ayco | 76 |
| 56 | ROMBOUTS Seppe | 63 |