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 = -6.4 * weight + 473
This means that on average for every extra kilogram weight a rider loses -6.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | CHARPENTEAU Yohann | 68 |
| 7 | ROBERTS Luke | 71 |
| 8 | LJUNGBLAD Jonas | 70 |
| 13 | KAGGESTAD Mads | 66 |
| 14 | HEGREBERG Morten | 72 |
| 21 | TAMOURIDIS Ioannis | 70 |
| 23 | VEIKKANEN Jussi | 66 |
| 52 | MAASIKMETS Alges | 67 |
| 61 | GERRANS Simon | 62 |
| 119 | KODANIPORK Raido | 69 |
| 135 | BLANNIN Patrick | 65 |