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 = -0.4 * weight + 37
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Vuillermoz
1
60 kgBaldo
3
73 kgLevarlet
4
67 kgVeilleux
5
75 kgLebas
6
65 kgCharteau
7
67 kgDemoitié
8
69 kgSijmens
9
69 kgDernies
11
68 kgMéderel
12
59 kgTusveld
13
70 kgSchmidt
15
63 kgMandri
16
66 kgVenturini
19
60 kgFouchard
21
74 kgValjavec
22
59 kgReza
25
71 kgHatsuyama
27
59 kg
1
60 kgBaldo
3
73 kgLevarlet
4
67 kgVeilleux
5
75 kgLebas
6
65 kgCharteau
7
67 kgDemoitié
8
69 kgSijmens
9
69 kgDernies
11
68 kgMéderel
12
59 kgTusveld
13
70 kgSchmidt
15
63 kgMandri
16
66 kgVenturini
19
60 kgFouchard
21
74 kgValjavec
22
59 kgReza
25
71 kgHatsuyama
27
59 kg
Weight (KG) →
Result →
75
59
1
27
# | Rider | Weight (KG) |
---|---|---|
1 | VUILLERMOZ Alexis | 60 |
3 | BALDO Nicolas | 73 |
4 | LEVARLET Guillaume | 67 |
5 | VEILLEUX David | 75 |
6 | LEBAS Thomas | 65 |
7 | CHARTEAU Anthony | 67 |
8 | DEMOITIÉ Antoine | 69 |
9 | SIJMENS Nico | 69 |
11 | DERNIES Tom | 68 |
12 | MÉDEREL Maxime | 59 |
13 | TUSVELD Martijn | 70 |
15 | SCHMIDT Fabien | 63 |
16 | MANDRI René | 66 |
19 | VENTURINI Clément | 60 |
21 | FOUCHARD Julien | 74 |
22 | VALJAVEC Tadej | 59 |
25 | REZA Kévin | 71 |
27 | HATSUYAMA Sho | 59 |