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 = 0.3 * weight - 9
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Domont
1
65 kgQuéméneur
2
67 kgGonçalves
3
70 kgTulik
4
64 kgMolard
5
62 kgKern
6
72 kgRossetto
7
68 kgRebellin
9
63 kgTaaramäe
10
68 kgVichot
11
74 kgFernández
12
60 kgReza
13
71 kgPirazzi
14
62 kgDelage
15
70 kgVachon
16
65 kgDe Greef
17
77 kgChavanel
18
73 kgLecuisinier
19
65 kg
1
65 kgQuéméneur
2
67 kgGonçalves
3
70 kgTulik
4
64 kgMolard
5
62 kgKern
6
72 kgRossetto
7
68 kgRebellin
9
63 kgTaaramäe
10
68 kgVichot
11
74 kgFernández
12
60 kgReza
13
71 kgPirazzi
14
62 kgDelage
15
70 kgVachon
16
65 kgDe Greef
17
77 kgChavanel
18
73 kgLecuisinier
19
65 kg
Weight (KG) →
Result →
77
60
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DOMONT Axel | 65 |
| 2 | QUÉMÉNEUR Perrig | 67 |
| 3 | GONÇALVES José | 70 |
| 4 | TULIK Angélo | 64 |
| 5 | MOLARD Rudy | 62 |
| 6 | KERN Christophe | 72 |
| 7 | ROSSETTO Stéphane | 68 |
| 9 | REBELLIN Davide | 63 |
| 10 | TAARAMÄE Rein | 68 |
| 11 | VICHOT Arthur | 74 |
| 12 | FERNÁNDEZ Rubén | 60 |
| 13 | REZA Kévin | 71 |
| 14 | PIRAZZI Stefano | 62 |
| 15 | DELAGE Mickaël | 70 |
| 16 | VACHON Florian | 65 |
| 17 | DE GREEF Francis | 77 |
| 18 | CHAVANEL Sylvain | 73 |
| 19 | LECUISINIER Pierre-Henri | 65 |