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 = 0.5 * weight - 26
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE WEERT Kevin | 70 |
| 2 | VAN GOOLEN Jurgen | 70 |
| 3 | NUYENS Nick | 68 |
| 5 | STUBBE Tom | 66 |
| 6 | BODNAR Łukasz | 68 |
| 7 | VAITKUS Tomas | 75 |
| 11 | GILBERT Philippe | 75 |
| 12 | COUTOULY Cédric | 72 |
| 14 | WEENING Pieter | 68 |
| 15 | CAETHOVEN Steven | 67 |
| 17 | SHPILEVSKY Boris | 78 |
| 18 | BILEKA Volodymyr | 65 |
| 21 | BOONEN Tom | 82 |