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 = 0.5 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Trofimov
1
59 kgSokolov
5
70 kgPauriol
6
68 kgPerget
8
64 kgVorganov
9
65 kgMahorič
12
68 kgBlain
14
82 kgFlens
15
82 kg
1
59 kgSokolov
5
70 kgPauriol
6
68 kgPerget
8
64 kgVorganov
9
65 kgMahorič
12
68 kgBlain
14
82 kgFlens
15
82 kg
Weight (KG) →
Result →
82
59
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TROFIMOV Yuri | 59 |
| 5 | SOKOLOV Evgeny | 70 |
| 6 | PAURIOL Rémi | 68 |
| 8 | PERGET Mathieu | 64 |
| 9 | VORGANOV Eduard | 65 |
| 12 | MAHORIČ Mitja | 68 |
| 14 | BLAIN Alexandre | 82 |
| 15 | FLENS Rick | 82 |