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 = 16.2 * weight - 724
This means that on average for every extra kilogram weight a rider loses 16.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VANDENBROUCKE Frank | 67 |
| 3 | CHANTEUR Pascal | 62 |
| 5 | GOUGOT Fabrice | 72 |
| 6 | RUÉ Gérard | 74 |
| 7 | DEMARBAIX Sébastien | 64 |
| 9 | MATTAN Nico | 69 |
| 10 | THIJS Erwin | 69 |
| 990 | BÄCKSTEDT Magnus | 94 |
| 990 | D'HOLLANDER Glenn | 74 |
| 990 | BEUCHAT Roger | 62 |
| 990 | STEELS Tom | 73 |
| 990 | DE WAELE Fabien | 62 |