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 = 0.9 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Schoofs
1
68 kgDecomble
4
62 kgPeace
5
64 kgHolmes
7
64 kgBush
10
58 kgGiuliano
14
63 kgLightfoot
25
57 kgGuichard
32
66 kgZomermaand
35
67 kgVillar
37
73 kgCorres
38
63 kgVerstraete
40
59 kgVanhuffel
48
57 kgSentjens
53
85 kgNisbet
58
60 kgDe Bock
61
70 kgTapia
66
56 kgDe Sousa
67
59 kgChaleil
68
68 kgDahl
71
68 kgBijlsma
83
68 kgStoneham
101
67 kgMagnoulon
133
66 kg
1
68 kgDecomble
4
62 kgPeace
5
64 kgHolmes
7
64 kgBush
10
58 kgGiuliano
14
63 kgLightfoot
25
57 kgGuichard
32
66 kgZomermaand
35
67 kgVillar
37
73 kgCorres
38
63 kgVerstraete
40
59 kgVanhuffel
48
57 kgSentjens
53
85 kgNisbet
58
60 kgDe Bock
61
70 kgTapia
66
56 kgDe Sousa
67
59 kgChaleil
68
68 kgDahl
71
68 kgBijlsma
83
68 kgStoneham
101
67 kgMagnoulon
133
66 kg
Weight (KG) →
Result →
85
56
1
133
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHOOFS Jasper | 68 |
| 4 | DECOMBLE Maxime | 62 |
| 5 | PEACE Oliver | 64 |
| 7 | HOLMES Wil | 64 |
| 10 | BUSH Jacob | 58 |
| 14 | GIULIANO Dario | 63 |
| 25 | LIGHTFOOT Mark | 57 |
| 32 | GUICHARD Carter | 66 |
| 35 | ZOMERMAAND Jurgen | 67 |
| 37 | VILLAR Iker | 73 |
| 38 | CORRES Gorka | 63 |
| 40 | VERSTRAETE Jenthe | 59 |
| 48 | VANHUFFEL Matteo | 57 |
| 53 | SENTJENS Sente | 85 |
| 58 | NISBET Cormac | 60 |
| 61 | DE BOCK Aless | 70 |
| 66 | TAPIA Adur | 56 |
| 67 | DE SOUSA Miles | 59 |
| 68 | CHALEIL Louis | 68 |
| 71 | DAHL Marius Innhaug | 68 |
| 83 | BIJLSMA Sjoerd | 68 |
| 101 | STONEHAM Angus | 67 |
| 133 | MAGNOULON Lorik | 66 |