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 = 1.4 * weight - 51
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | TULIK Angélo | 64 |
| 15 | TORTELIER Etienne | 63 |
| 16 | SCHNAIDT Fabian | 70 |
| 17 | DANIEL Maxime | 74 |
| 38 | BROECKX Stig | 73 |
| 42 | PEYSKENS Dimitri | 69 |
| 50 | VANDYCK Niels | 64 |
| 53 | DE JONGHE Kevin | 69 |
| 67 | CAILLAUD Antoine | 63 |
| 68 | DOMONT Axel | 65 |
| 80 | EISING Tijmen | 80 |
| 81 | DE VOS Gertjan | 72 |