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 = 9.7 * weight + 2
This means that on average for every extra kilogram weight a rider loses 9.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CAPELLE Christophe | 73 |
| 3 | VAN PETEGEM Peter | 70 |
| 7 | SERGEANT Marc | 76 |
| 8 | VAN BONDT Geert | 71 |
| 990 | BOUVARD Gilles | 70 |
| 990 | VOSKAMP Bart | 75 |
| 990 | KNAVEN Servais | 68 |
| 990 | HOFFMAN Tristan | 80 |
| 990 | GARMENDIA Aitor | 68 |
| 990 | SIMON François | 70 |
| 990 | CORVERS Frank | 77 |
| 990 | PEERS Chris | 73 |
| 990 | DUCLOS-LASSALLE Gilbert | 73 |
| 990 | MOREAU Francis | 77 |