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:
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Cuesta
1
62 kgCheula
2
62 kgBerthou
3
72 kgCalcagni
4
65 kgMonfort
5
66 kgVasseur
6
70 kgCelli
7
69 kgRous
9
70 kgNys
10
73 kgFédrigo
11
66 kgGoubert
13
62 kgPaumier
14
57 kgMengin
15
68 kgAgnolutto
16
69 kgCoutouly
18
72 kgRenier
19
69 kgRobin
20
63 kgCésar Veloso
22
69 kg
1
62 kgCheula
2
62 kgBerthou
3
72 kgCalcagni
4
65 kgMonfort
5
66 kgVasseur
6
70 kgCelli
7
69 kgRous
9
70 kgNys
10
73 kgFédrigo
11
66 kgGoubert
13
62 kgPaumier
14
57 kgMengin
15
68 kgAgnolutto
16
69 kgCoutouly
18
72 kgRenier
19
69 kgRobin
20
63 kgCésar Veloso
22
69 kg
Weight (KG) →
Result →
73
57
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CUESTA Iñigo | 62 |
| 2 | CHEULA Giampaolo | 62 |
| 3 | BERTHOU Eric | 72 |
| 4 | CALCAGNI Patrick | 65 |
| 5 | MONFORT Maxime | 66 |
| 6 | VASSEUR Cédric | 70 |
| 7 | CELLI Luca | 69 |
| 9 | ROUS Didier | 70 |
| 10 | NYS Sven | 73 |
| 11 | FÉDRIGO Pierrick | 66 |
| 13 | GOUBERT Stéphane | 62 |
| 14 | PAUMIER Laurent | 57 |
| 15 | MENGIN Christophe | 68 |
| 16 | AGNOLUTTO Christophe | 69 |
| 18 | COUTOULY Cédric | 72 |
| 19 | RENIER Franck | 69 |
| 20 | ROBIN Jean-Cyril | 63 |
| 22 | CÉSAR VELOSO Gustavo | 69 |