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 * weight - 82
This means that on average for every extra kilogram weight a rider loses 2 positions in the result.
Renders
3
63 kgAntón
4
64 kgPérez
15
65 kgVelasco
21
65 kgSteurs
24
77 kgPérez
25
66 kgIngels
29
70 kgWynants
34
74 kgBlackgrove
49
65 kgMeersman
51
63 kgCornu
54
78 kgCosme
56
61 kgMartin
62
75 kgdel Nero
82
73 kgLeezer
87
76 kgDehaes
89
73 kgUrtasun
93
69 kgPujol
94
58 kgKaisen
96
82 kgvan Leijen
97
73 kgde Wilde
107
74 kg
3
63 kgAntón
4
64 kgPérez
15
65 kgVelasco
21
65 kgSteurs
24
77 kgPérez
25
66 kgIngels
29
70 kgWynants
34
74 kgBlackgrove
49
65 kgMeersman
51
63 kgCornu
54
78 kgCosme
56
61 kgMartin
62
75 kgdel Nero
82
73 kgLeezer
87
76 kgDehaes
89
73 kgUrtasun
93
69 kgPujol
94
58 kgKaisen
96
82 kgvan Leijen
97
73 kgde Wilde
107
74 kg
Weight (KG) →
Result →
82
58
3
107
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | RENDERS Sven | 63 |
| 4 | ANTÓN Igor | 64 |
| 15 | PÉREZ Rubén | 65 |
| 21 | VELASCO Iván | 65 |
| 24 | STEURS Geert | 77 |
| 25 | PÉREZ Alan | 66 |
| 29 | INGELS Nick | 70 |
| 34 | WYNANTS Maarten | 74 |
| 49 | BLACKGROVE Heath | 65 |
| 51 | MEERSMAN Gianni | 63 |
| 54 | CORNU Dominique | 78 |
| 56 | COSME Antonio | 61 |
| 62 | MARTIN Tony | 75 |
| 82 | DEL NERO Jesús | 73 |
| 87 | LEEZER Tom | 76 |
| 89 | DEHAES Kenny | 73 |
| 93 | URTASUN Pablo | 69 |
| 94 | PUJOL Óscar | 58 |
| 96 | KAISEN Olivier | 82 |
| 97 | VAN LEIJEN Joost | 73 |
| 107 | DE WILDE Sjef | 74 |