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 = -0.1 * weight + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Hutarovich
1
71 kgCavendish
2
70 kgFarrar
3
73 kgPetacchi
4
70 kgCardoso
5
70 kgFernández
6
71 kgSwift
7
69 kgDelage
8
70 kgFörster
9
83 kgGalimzyanov
10
75 kgStauff
11
82 kgDumoulin
12
57 kgOffredo
13
69 kgRamírez
14
61 kgWalker
15
63 kgMata
16
72 kgHaedo
17
73 kgWeylandt
18
72 kg
1
71 kgCavendish
2
70 kgFarrar
3
73 kgPetacchi
4
70 kgCardoso
5
70 kgFernández
6
71 kgSwift
7
69 kgDelage
8
70 kgFörster
9
83 kgGalimzyanov
10
75 kgStauff
11
82 kgDumoulin
12
57 kgOffredo
13
69 kgRamírez
14
61 kgWalker
15
63 kgMata
16
72 kgHaedo
17
73 kgWeylandt
18
72 kg
Weight (KG) →
Result →
83
57
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HUTAROVICH Yauheni | 71 |
| 2 | CAVENDISH Mark | 70 |
| 3 | FARRAR Tyler | 73 |
| 4 | PETACCHI Alessandro | 70 |
| 5 | CARDOSO Manuel Antonio Leal | 70 |
| 6 | FERNÁNDEZ Koldo | 71 |
| 7 | SWIFT Ben | 69 |
| 8 | DELAGE Mickaël | 70 |
| 9 | FÖRSTER Robert | 83 |
| 10 | GALIMZYANOV Denis | 75 |
| 11 | STAUFF Andreas | 82 |
| 12 | DUMOULIN Samuel | 57 |
| 13 | OFFREDO Yoann | 69 |
| 14 | RAMÍREZ Javier | 61 |
| 15 | WALKER Johnnie | 63 |
| 16 | MATA Enrique | 72 |
| 17 | HAEDO Juan José | 73 |
| 18 | WEYLANDT Wouter | 72 |