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 = -0.4 * weight + 37
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GROVES Kaden | 76 |
| 2 | MIHKELS Madis | 75 |
| 3 | VAHTRA Norman | 85 |
| 4 | ŠIŠKEVIČIUS Evaldas | 80 |
| 5 | STOSZ Patryk | 70 |
| 6 | FORSSELL Hugo | 86 |
| 7 | BÁRTA Tomáš | 79 |
| 8 | RÄIM Mihkel | 69 |
| 9 | PETRUŠ Jiří | 64 |
| 10 | LAŠINIS Venantas | 69 |
| 11 | HALLER Patrick | 68 |
| 12 | MURIAS Jakub | 65 |
| 13 | ÄRM Rait | 75 |
| 14 | EZQUERRA Jesús | 68 |
| 15 | SCHORMAIR Fabian | 64 |