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 = -1.8 * weight + 171
This means that on average for every extra kilogram weight a rider loses -1.8 positions in the result.
De Schuyteneer
1
74 kgChamberlain
3
74 kgSentjens
4
85 kgStoneham
8
67 kgHolmes
11
64 kgJessen
20
58 kgVandevorst
23
74 kgKongstad
24
75 kgLarsson
32
60 kgWeber
39
77 kgCnudde
42
75 kgHeath
57
63 kgArjus
64
70 kgGalle
68
63 kgde Jonghe
72
61 kgBauwens
79
71 kgvan Zuidam
97
63 kgGrömmel
104
70 kgVandenabeele
106
64 kg
1
74 kgChamberlain
3
74 kgSentjens
4
85 kgStoneham
8
67 kgHolmes
11
64 kgJessen
20
58 kgVandevorst
23
74 kgKongstad
24
75 kgLarsson
32
60 kgWeber
39
77 kgCnudde
42
75 kgHeath
57
63 kgArjus
64
70 kgGalle
68
63 kgde Jonghe
72
61 kgBauwens
79
71 kgvan Zuidam
97
63 kgGrömmel
104
70 kgVandenabeele
106
64 kg
Weight (KG) →
Result →
85
58
1
106
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE SCHUYTENEER Steffen | 74 |
| 3 | CHAMBERLAIN Oscar | 74 |
| 4 | SENTJENS Sente | 85 |
| 8 | STONEHAM Angus | 67 |
| 11 | HOLMES Wil | 64 |
| 20 | JESSEN Cohen | 58 |
| 23 | VANDEVORST Nio | 74 |
| 24 | KONGSTAD Alfred | 75 |
| 32 | LARSSON Linus | 60 |
| 39 | WEBER Gino | 77 |
| 42 | CNUDDE Louis | 75 |
| 57 | HEATH Will | 63 |
| 64 | ARJUS Henri | 70 |
| 68 | GALLE Mika | 63 |
| 72 | DE JONGHE Mirko | 61 |
| 79 | BAUWENS Siebe | 71 |
| 97 | VAN ZUIDAM Bas | 63 |
| 104 | GRÖMMEL Rens | 70 |
| 106 | VANDENABEELE Kobe | 64 |