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 = -0.2 * weight + 29
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KNAVEN Servais | 68 |
| 2 | MICHAELSEN Lars | 79 |
| 4 | OMLOOP Geert | 78 |
| 5 | BOOGERD Michael | 62 |
| 6 | HAYMAN Mathew | 78 |
| 10 | CAPELLE Ludovic | 75 |
| 11 | CORVERS Frank | 77 |
| 12 | IVANOV Sergei | 73 |
| 14 | DEN BAKKER Maarten | 71 |
| 15 | BOVEN Jan | 65 |
| 16 | KLIER Andreas | 72 |
| 17 | PIZIKS Arvis | 70 |
| 18 | KOERTS Jans | 78 |
| 19 | TEUTENBERG Sven | 66 |
| 20 | HAMMOND Roger | 71 |