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 + 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Metlushenko
4
82 kgWalsleben
5
66 kgMandri
6
66 kgRäim
8
69 kgJakin
9
71 kgDžervus
13
77 kg
4
82 kgWalsleben
5
66 kgMandri
6
66 kgRäim
8
69 kgJakin
9
71 kgDžervus
13
77 kg
Weight (KG) →
Result →
82
66
4
13
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | METLUSHENKO Yuri | 82 |
| 5 | WALSLEBEN Philipp | 66 |
| 6 | MANDRI René | 66 |
| 8 | RÄIM Mihkel | 69 |
| 9 | JAKIN Alo | 71 |
| 13 | DŽERVUS Darijus | 77 |