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 = -1.8 * weight + 165
This means that on average for every extra kilogram weight a rider loses -1.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | COTTIGNIES Kyano | 79 |
| 13 | STRYPENS Roeland | 73 |
| 24 | VERDONCK Thomas | 63 |
| 37 | LEFEVRE Fabrice | 75 |
| 52 | D'HONDT Arne | 63 |
| 58 | FRANÇOIS Rune | 68 |
| 69 | RAUS Jérôme | 73 |
| 77 | DE GENDT Leander | 51 |