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 = 0.6 * weight - 23
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Planckaert
2
65 kgTurgis
4
63 kgStallaert
5
72 kgThill
6
73 kgStassen
7
66 kgCoenen
8
69 kgGouault
9
61 kgDelfosse
12
73 kgSchreurs
13
69 kgBarbier
14
79 kgDernies
15
68 kgVantomme
18
63 kgJakin
20
71 kgNakajima
23
64 kgDe Plus
31
67 kgEvrard
38
65 kgLeroux
46
79 kgHatanaka
51
72 kgFukuda
52
70 kgRetschke
54
66 kg
2
65 kgTurgis
4
63 kgStallaert
5
72 kgThill
6
73 kgStassen
7
66 kgCoenen
8
69 kgGouault
9
61 kgDelfosse
12
73 kgSchreurs
13
69 kgBarbier
14
79 kgDernies
15
68 kgVantomme
18
63 kgJakin
20
71 kgNakajima
23
64 kgDe Plus
31
67 kgEvrard
38
65 kgLeroux
46
79 kgHatanaka
51
72 kgFukuda
52
70 kgRetschke
54
66 kg
Weight (KG) →
Result →
79
61
2
54
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PLANCKAERT Baptiste | 65 |
| 4 | TURGIS Jimmy | 63 |
| 5 | STALLAERT Joeri | 72 |
| 6 | THILL Tom | 73 |
| 7 | STASSEN Julien | 66 |
| 8 | COENEN Dennis | 69 |
| 9 | GOUAULT Pierre | 61 |
| 12 | DELFOSSE Sébastien | 73 |
| 13 | SCHREURS Hamish | 69 |
| 14 | BARBIER Rudy | 79 |
| 15 | DERNIES Tom | 68 |
| 18 | VANTOMME Maxime | 63 |
| 20 | JAKIN Alo | 71 |
| 23 | NAKAJIMA Yasuharu | 64 |
| 31 | DE PLUS Laurens | 67 |
| 38 | EVRARD Laurent | 65 |
| 46 | LEROUX Samuel | 79 |
| 51 | HATANAKA Yusuke | 72 |
| 52 | FUKUDA Shinpei | 70 |
| 54 | RETSCHKE Robert | 66 |