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 - 18
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SEVILLA Óscar | 62 |
| 3 | VAN ENGELEN Adne | 51 |
| 5 | AGIRRE Jon | 55 |
| 6 | HORVAT Žiga | 70 |
| 7 | PAREDES Wilmar | 66 |
| 10 | MONK Cyrus | 67 |
| 12 | CAVIA Daniel | 62 |
| 13 | MUÑOZ Francisco | 71 |
| 14 | VINOKUROV Nicolas | 65 |
| 15 | CARMAN Ben | 66 |
| 17 | MURGUIALDAY Jokin | 57 |
| 18 | ALLENO Clément | 69 |
| 21 | WANG Gustav | 70 |