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 + 33
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Bodrogi
1
79 kgBelohvoščiks
2
70 kgClement
3
66 kgKrivtsov
4
72 kgGusev
5
67 kgLarsson
6
77 kgHelminen
7
74 kgVoeckler
8
71 kgGazvoda
9
72 kgKaisen
10
82 kgKolobnev
11
64 kgGrivko
12
70 kgChampion
13
70 kgGourov
14
75 kgBertogliati
15
73 kgRoche
16
70 kgRoy
17
70 kgDuret
18
62 kgFeillu
20
62 kgCornu
22
78 kgKvasina
23
72 kgBichot
24
67 kg
1
79 kgBelohvoščiks
2
70 kgClement
3
66 kgKrivtsov
4
72 kgGusev
5
67 kgLarsson
6
77 kgHelminen
7
74 kgVoeckler
8
71 kgGazvoda
9
72 kgKaisen
10
82 kgKolobnev
11
64 kgGrivko
12
70 kgChampion
13
70 kgGourov
14
75 kgBertogliati
15
73 kgRoche
16
70 kgRoy
17
70 kgDuret
18
62 kgFeillu
20
62 kgCornu
22
78 kgKvasina
23
72 kgBichot
24
67 kg
Weight (KG) →
Result →
82
62
1
24
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BODROGI László | 79 |
| 2 | BELOHVOŠČIKS Raivis | 70 |
| 3 | CLEMENT Stef | 66 |
| 4 | KRIVTSOV Yuriy | 72 |
| 5 | GUSEV Vladimir | 67 |
| 6 | LARSSON Gustav Erik | 77 |
| 7 | HELMINEN Matti | 74 |
| 8 | VOECKLER Thomas | 71 |
| 9 | GAZVODA Gregor | 72 |
| 10 | KAISEN Olivier | 82 |
| 11 | KOLOBNEV Alexandr | 64 |
| 12 | GRIVKO Andrey | 70 |
| 13 | CHAMPION Dimitri | 70 |
| 14 | GOUROV Maxim | 75 |
| 15 | BERTOGLIATI Rubens | 73 |
| 16 | ROCHE Nicolas | 70 |
| 17 | ROY Jérémy | 70 |
| 18 | DURET Sébastien | 62 |
| 20 | FEILLU Romain | 62 |
| 22 | CORNU Dominique | 78 |
| 23 | KVASINA Matija | 72 |
| 24 | BICHOT Freddy | 67 |