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 = -10.7 * weight + 1383
This means that on average for every extra kilogram weight a rider loses -10.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BEUCHAT Roger | 62 |
| 4 | STEELS Tom | 73 |
| 5 | BÄCKSTEDT Magnus | 94 |
| 9 | DE WAELE Fabien | 62 |
| 990 | MATTAN Nico | 69 |
| 990 | D'HOLLANDER Glenn | 74 |
| 990 | CHANTEUR Pascal | 62 |
| 990 | THIJS Erwin | 69 |
| 990 | RUÉ Gérard | 74 |
| 990 | GOUGOT Fabrice | 72 |
| 990 | DEMARBAIX Sébastien | 64 |