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 = -0.8 * weight + 94
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 9 | BARRY Ashlin | 77 |
| 11 | ROONI Ron | 72 |
| 19 | COTTIGNIES Kyano | 79 |
| 20 | GOLDSTEIN Or | 57 |
| 30 | CUBILLAS Javier | 62 |
| 33 | VERDONCK Thomas | 63 |
| 57 | LEFEVRE Fabrice | 75 |
| 59 | MARTINET Valentin | 66 |
| 63 | ATKINS Leon | 68 |
| 71 | HINCAPIE Enzo | 68 |
| 81 | JACKOWIAK Jan Michal | 65 |