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 - 18
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHRÖDER Björn | 64 |
| 3 | KOPP David | 68 |
| 4 | TEN DAM Laurens | 67 |
| 6 | SCHUMACHER Stefan | 71 |
| 7 | SENTJENS Roy | 75 |
| 8 | THIJS Erwin | 69 |
| 11 | BEUCHAT Roger | 62 |
| 13 | PRONK Matthé | 73 |
| 14 | VASTARANTA Jukka | 63 |
| 15 | KNEES Christian | 81 |
| 16 | POZZATO Filippo | 73 |
| 17 | VERHEYEN Geert | 68 |
| 18 | SCHLECK Andy | 68 |
| 19 | SCHEUNEMAN Niels | 75 |
| 20 | KEISSE Iljo | 72 |