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 = 0.6 * weight - 28
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FERRÍO Jorge | 51 |
| 3 | CÉSAR VELOSO Gustavo | 69 |
| 5 | REYNÉS Vicente | 69 |
| 6 | BURGOS Nacor | 58 |
| 7 | HERRERO David | 61 |
| 10 | ESKOV Nikita | 73 |
| 11 | LOBATO Rubén | 64 |
| 12 | BRUTT Pavel | 70 |
| 15 | MAYOZ Iban | 62 |
| 17 | ZANDIO Xabier | 73 |
| 20 | NAVAS David | 78 |
| 22 | GÓMEZ Ángel | 68 |
| 26 | ODRIOZOLA Jon | 70 |