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 = -1.3 * weight + 148
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BARRY Ashlin | 77 |
| 8 | ATKINS Leon | 68 |
| 11 | JACKOWIAK Jan Michal | 65 |
| 16 | MARTINET Valentin | 66 |
| 23 | ROONI Ron | 72 |
| 24 | HINCAPIE Enzo | 68 |
| 37 | LEFEVRE Fabrice | 75 |
| 60 | ZIJLSTRA Youri | 68 |
| 68 | COTTIGNIES Kyano | 79 |
| 73 | VERDONCK Thomas | 63 |
| 90 | WRONA Szymon | 67 |
| 93 | HUITEMA Thomas | 72 |
| 97 | PLANCKE Nicolas | 85 |
| 111 | CUBILLAS Javier | 62 |
| 140 | GOLDSTEIN Or | 57 |