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 = -0.4 * weight + 36
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KITTEL Marcel | 82 |
| 2 | GREIPEL André | 80 |
| 3 | STUYVEN Jasper | 78 |
| 4 | WIPPERT Wouter | 75 |
| 5 | CAMPENAERTS Victor | 68 |
| 6 | GRADEK Kamil | 83 |
| 7 | PUCCIO Salvatore | 68 |
| 8 | MACHADO Tiago | 63 |
| 9 | GONÇALVES Domingos | 70 |
| 10 | DOWSETT Alex | 75 |
| 11 | KOLOBNEV Alexandr | 64 |
| 12 | MAIKIN Roman | 68 |
| 13 | CIEŚLIK Paweł | 65 |