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 - 5
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | MERTENS Pieter | 67 |
| 17 | DE SCHROODER Benny | 61 |
| 24 | ROSENDO Jesús | 66 |
| 31 | AGIRRE Josu | 68 |
| 34 | ZONNEVELD Thijs | 63 |
| 36 | AVERIN Maksym | 74 |
| 40 | BRUTT Pavel | 70 |
| 43 | TRUSOV Nikolay | 77 |
| 46 | WILLEMS Frederik | 67 |
| 47 | NAVARRO Daniel | 60 |
| 49 | TONDO Xavier | 68 |
| 54 | BENÍTEZ José Alberto | 66 |
| 56 | KLIMOV Sergey | 69 |