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 = 3.3 * weight - 181
This means that on average for every extra kilogram weight a rider loses 3.3 positions in the result.
Antón
4
64 kgRenders
5
63 kgPérez
13
65 kgPujol
18
58 kgVelasco
20
65 kgIngels
31
70 kgPérez
33
66 kgBlackgrove
35
65 kgMeersman
36
63 kgCornu
39
78 kgWynants
41
74 kgCosme
54
61 kgMartin
61
75 kgSteurs
70
77 kgde Wilde
71
74 kgDehaes
86
73 kgKaisen
87
82 kgvan Leijen
96
73 kgLeezer
97
76 kgUrtasun
101
69 kgdel Nero
102
73 kg
4
64 kgRenders
5
63 kgPérez
13
65 kgPujol
18
58 kgVelasco
20
65 kgIngels
31
70 kgPérez
33
66 kgBlackgrove
35
65 kgMeersman
36
63 kgCornu
39
78 kgWynants
41
74 kgCosme
54
61 kgMartin
61
75 kgSteurs
70
77 kgde Wilde
71
74 kgDehaes
86
73 kgKaisen
87
82 kgvan Leijen
96
73 kgLeezer
97
76 kgUrtasun
101
69 kgdel Nero
102
73 kg
Weight (KG) →
Result →
82
58
4
102
# | Rider | Weight (KG) |
---|---|---|
4 | ANTÓN Igor | 64 |
5 | RENDERS Sven | 63 |
13 | PÉREZ Rubén | 65 |
18 | PUJOL Óscar | 58 |
20 | VELASCO Iván | 65 |
31 | INGELS Nick | 70 |
33 | PÉREZ Alan | 66 |
35 | BLACKGROVE Heath | 65 |
36 | MEERSMAN Gianni | 63 |
39 | CORNU Dominique | 78 |
41 | WYNANTS Maarten | 74 |
54 | COSME Antonio | 61 |
61 | MARTIN Tony | 75 |
70 | STEURS Geert | 77 |
71 | DE WILDE Sjef | 74 |
86 | DEHAES Kenny | 73 |
87 | KAISEN Olivier | 82 |
96 | VAN LEIJEN Joost | 73 |
97 | LEEZER Tom | 76 |
101 | URTASUN Pablo | 69 |
102 | DEL NERO Jesús | 73 |