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 = -0.8 * weight + 75
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KELLY Sean | 77 |
| 4 | ROCHE Stephen | 74 |
| 5 | HOSTE Frank | 76 |
| 8 | MADIOT Marc | 68 |
| 14 | DUCLOS-LASSALLE Gilbert | 73 |
| 17 | HINAULT Bernard | 62 |
| 21 | VAN DEN HOEK Aad | 77 |
| 34 | VAN VLIET Leo | 65 |
| 39 | PRIEM Cees | 75 |
| 43 | DE WILDE Etienne | 70 |