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 + 42
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ANDREAUS Marco | 68 |
| 3 | RAILEANU Cristian | 63 |
| 5 | RØED Torbjørn Andre | 74 |
| 7 | TRACZ Szymon | 74 |
| 8 | SKERL Daniel | 80 |
| 13 | GINESTRA Lorenzo | 64 |
| 14 | ARVANITOU Nikiforos | 71 |
| 15 | MARBLER Stefan | 75 |
| 16 | HARASIM Mihnea-Alexandru | 72 |
| 17 | DIMA Emil | 73 |
| 18 | BONALDO Kevin | 68 |
| 21 | SLOOF Jordi | 70 |
| 22 | PICIU Mattew-Denis | 64 |
| 24 | ANDREEV Yordan | 63 |
| 26 | DOLVEN Halvor | 74 |
| 29 | ESKEDAL Vetle Torin | 63 |
| 31 | LUCCA Simone | 71 |