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 = 0.9 * weight - 50
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Trofimov
2
59 kgFirsanov
7
58 kgRovny
8
62 kgKunitski
16
72 kgKostyuk
17
66 kg
2
59 kgFirsanov
7
58 kgRovny
8
62 kgKunitski
16
72 kgKostyuk
17
66 kg
Weight (KG) →
Result →
72
58
2
17
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | TROFIMOV Yuri | 59 |
| 7 | FIRSANOV Sergey | 58 |
| 8 | ROVNY Ivan | 62 |
| 16 | KUNITSKI Andrei | 72 |
| 17 | KOSTYUK Denys | 66 |