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 = -0.2 * weight + 29
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EWAN Caleb | 69 |
| 4 | PEREZ Anthony | 70 |
| 5 | LAMOISSON Morgan | 69 |
| 7 | MEISEN Marcel | 62 |
| 10 | KRIEGER Alexander | 71 |
| 12 | ORJUELA Fernando | 60 |
| 15 | WALSLEBEN Philipp | 66 |
| 17 | NAULEAU Bryan | 67 |
| 18 | KIRSCH Alex | 78 |
| 19 | MCLAY Daniel | 72 |
| 20 | HAVIK Yoeri | 66 |
| 22 | MAGER Christian | 60 |
| 23 | KOZHATAYEV Bakhtiyar | 62 |