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 = -2.5 * weight + 226
This means that on average for every extra kilogram weight a rider loses -2.5 positions in the result.
De Schuyteneer
1
74 kgSentjens
2
85 kgChamberlain
3
74 kgStoneham
8
67 kgHolmes
14
64 kgLarsson
15
60 kgArjus
19
70 kgKongstad
23
75 kgVandevorst
33
74 kgWeber
53
77 kgJessen
58
58 kgGalle
68
63 kgCnudde
73
75 kgGrömmel
75
70 kgHeath
93
63 kgVandenabeele
98
64 kgBauwens
100
71 kgvan Zuidam
112
63 kgde Jonghe
121
61 kg
1
74 kgSentjens
2
85 kgChamberlain
3
74 kgStoneham
8
67 kgHolmes
14
64 kgLarsson
15
60 kgArjus
19
70 kgKongstad
23
75 kgVandevorst
33
74 kgWeber
53
77 kgJessen
58
58 kgGalle
68
63 kgCnudde
73
75 kgGrömmel
75
70 kgHeath
93
63 kgVandenabeele
98
64 kgBauwens
100
71 kgvan Zuidam
112
63 kgde Jonghe
121
61 kg
Weight (KG) →
Result →
85
58
1
121
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE SCHUYTENEER Steffen | 74 |
| 2 | SENTJENS Sente | 85 |
| 3 | CHAMBERLAIN Oscar | 74 |
| 8 | STONEHAM Angus | 67 |
| 14 | HOLMES Wil | 64 |
| 15 | LARSSON Linus | 60 |
| 19 | ARJUS Henri | 70 |
| 23 | KONGSTAD Alfred | 75 |
| 33 | VANDEVORST Nio | 74 |
| 53 | WEBER Gino | 77 |
| 58 | JESSEN Cohen | 58 |
| 68 | GALLE Mika | 63 |
| 73 | CNUDDE Louis | 75 |
| 75 | GRÖMMEL Rens | 70 |
| 93 | HEATH Will | 63 |
| 98 | VANDENABEELE Kobe | 64 |
| 100 | BAUWENS Siebe | 71 |
| 112 | VAN ZUIDAM Bas | 63 |
| 121 | DE JONGHE Mirko | 61 |