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 - 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Piccoli
1
64 kgOlano
3
70 kgZanette
5
82 kgSkibby
6
70 kgElli
7
71 kgKonyshev
8
77 kgRodrigues
10
68 kg
1
64 kgOlano
3
70 kgZanette
5
82 kgSkibby
6
70 kgElli
7
71 kgKonyshev
8
77 kgRodrigues
10
68 kg
Weight (KG) →
Result →
82
64
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PICCOLI Mariano | 64 |
| 3 | OLANO Abraham | 70 |
| 5 | ZANETTE Denis | 82 |
| 6 | SKIBBY Jesper | 70 |
| 7 | ELLI Alberto | 71 |
| 8 | KONYSHEV Dmitry | 77 |
| 10 | RODRIGUES Orlando Sergio | 68 |