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 = -0.1 * weight + 40
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Schoofs
9
68 kgGiuliano
10
63 kgDecomble
14
62 kgPeace
17
64 kgLightfoot
18
57 kgHolmes
20
64 kgChaleil
23
68 kgDe Bock
24
70 kgBush
25
58 kgSentjens
27
85 kgCorres
33
63 kgVillar
34
73 kgVanhuffel
36
57 kgBijlsma
49
68 kgDahl
51
68 kgDe Sousa
58
59 kgNisbet
61
60 kgStoneham
62
67 kg
9
68 kgGiuliano
10
63 kgDecomble
14
62 kgPeace
17
64 kgLightfoot
18
57 kgHolmes
20
64 kgChaleil
23
68 kgDe Bock
24
70 kgBush
25
58 kgSentjens
27
85 kgCorres
33
63 kgVillar
34
73 kgVanhuffel
36
57 kgBijlsma
49
68 kgDahl
51
68 kgDe Sousa
58
59 kgNisbet
61
60 kgStoneham
62
67 kg
Weight (KG) →
Result →
85
57
9
62
| # | Rider | Weight (KG) |
|---|---|---|
| 9 | SCHOOFS Jasper | 68 |
| 10 | GIULIANO Dario | 63 |
| 14 | DECOMBLE Maxime | 62 |
| 17 | PEACE Oliver | 64 |
| 18 | LIGHTFOOT Mark | 57 |
| 20 | HOLMES Wil | 64 |
| 23 | CHALEIL Louis | 68 |
| 24 | DE BOCK Aless | 70 |
| 25 | BUSH Jacob | 58 |
| 27 | SENTJENS Sente | 85 |
| 33 | CORRES Gorka | 63 |
| 34 | VILLAR Iker | 73 |
| 36 | VANHUFFEL Matteo | 57 |
| 49 | BIJLSMA Sjoerd | 68 |
| 51 | DAHL Marius Innhaug | 68 |
| 58 | DE SOUSA Miles | 59 |
| 61 | NISBET Cormac | 60 |
| 62 | STONEHAM Angus | 67 |