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 = -3.1 * weight + 271
This means that on average for every extra kilogram weight a rider loses -3.1 positions in the result.
De Schuyteneer
3
74 kgChamberlain
4
74 kgLarsson
8
60 kgBauwens
11
71 kgGrömmel
18
70 kgWeber
39
77 kgCnudde
52
75 kgJessen
72
58 kgde Jonghe
73
61 kgHolmes
75
64 kgArjus
82
70 kgStoneham
92
67 kgKongstad
96
75 kgGalle
100
63 kgHeath
116
63 kgvan Zuidam
126
63 kgVandenabeele
127
64 kg
3
74 kgChamberlain
4
74 kgLarsson
8
60 kgBauwens
11
71 kgGrömmel
18
70 kgWeber
39
77 kgCnudde
52
75 kgJessen
72
58 kgde Jonghe
73
61 kgHolmes
75
64 kgArjus
82
70 kgStoneham
92
67 kgKongstad
96
75 kgGalle
100
63 kgHeath
116
63 kgvan Zuidam
126
63 kgVandenabeele
127
64 kg
Weight (KG) →
Result →
77
58
3
127
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | DE SCHUYTENEER Steffen | 74 |
| 4 | CHAMBERLAIN Oscar | 74 |
| 8 | LARSSON Linus | 60 |
| 11 | BAUWENS Siebe | 71 |
| 18 | GRÖMMEL Rens | 70 |
| 39 | WEBER Gino | 77 |
| 52 | CNUDDE Louis | 75 |
| 72 | JESSEN Cohen | 58 |
| 73 | DE JONGHE Mirko | 61 |
| 75 | HOLMES Wil | 64 |
| 82 | ARJUS Henri | 70 |
| 92 | STONEHAM Angus | 67 |
| 96 | KONGSTAD Alfred | 75 |
| 100 | GALLE Mika | 63 |
| 116 | HEATH Will | 63 |
| 126 | VAN ZUIDAM Bas | 63 |
| 127 | VANDENABEELE Kobe | 64 |