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 = -0.3 * weight + 28
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GESINK Robert | 70 |
| 3 | KEISSE Iljo | 72 |
| 4 | SIJMENS Nico | 69 |
| 5 | REUS Kai | 70 |
| 6 | VANENDERT Jelle | 62 |
| 7 | MARZOLI Ruggero | 61 |
| 8 | JAKSCHE Jörg | 69 |
| 9 | DE NEEF Steven | 75 |
| 10 | PRONK Matthé | 73 |
| 11 | MERTENS Pieter | 67 |
| 12 | TOMBAK Janek | 71 |
| 13 | DANIELSON Tom | 58.5 |
| 14 | GUSEV Vladimir | 67 |
| 15 | MEERSMAN Gianni | 63 |
| 16 | NUYENS Nick | 68 |
| 17 | KIRYIENKA Vasil | 69 |
| 18 | STUBBE Tom | 66 |