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 + 35
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE FAUW Dimitri | 77 |
| 2 | SENTJENS Roy | 75 |
| 3 | KOPP David | 68 |
| 8 | DE WILDE Sjef | 74 |
| 12 | DION Renaud | 65 |
| 15 | MUTSAARS Ronald | 67 |
| 16 | RETSCHKE Robert | 66 |
| 17 | DUCLOS-LASSALLE Hervé | 63 |
| 21 | FOTHEN Markus | 71 |
| 26 | ROLLIN Dominique | 83 |
| 30 | BAUMANN Eric | 72 |
| 40 | LELAY David | 67 |
| 41 | ELIJZEN Michiel | 80 |
| 45 | DE WEERT Kevin | 70 |
| 49 | VAN HUMMEL Kenny | 64 |