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 + 67
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KELDERMAN Wilco | 65 |
| 3 | EISING Tijmen | 80 |
| 4 | LANDER Sebastian | 70 |
| 6 | MARKUS Barry | 75 |
| 11 | DÉMARE Arnaud | 76 |
| 12 | KAMYSHEV Arman | 67 |
| 13 | STÖHR Ján | 72 |
| 16 | STALNOV Nikita | 63 |
| 17 | MANNAERTS Jelle | 73 |
| 20 | STÖHR Pavel | 66 |
| 22 | TATARINOV Gennadiy | 67 |
| 23 | HALLER Marco | 72 |
| 30 | VALINHO Victor | 60 |