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:
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DÉMARE Arnaud | 76 |
| 2 | VERMOTE Julien | 74 |
| 3 | PORSEV Alexander | 80 |
| 4 | PLANCKAERT Baptiste | 65 |
| 5 | VAN HUMMEL Kenny | 64 |
| 6 | HADDOU Saïd | 80 |
| 7 | WAGNER Robert | 75 |
| 8 | NEIRYNCK Stijn | 78 |
| 9 | BOUHANNI Nacer | 65 |
| 10 | VAN KEIRSBULCK Guillaume | 89 |