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 = -2.1 * weight + 167
This means that on average for every extra kilogram weight a rider loses -2.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HOSTE Frank | 76 |
| 3 | ROCHE Stephen | 74 |
| 4 | RAAS Jan | 72 |
| 6 | DUCLOS-LASSALLE Gilbert | 73 |
| 8 | DE WOLF Fons | 75 |
| 11 | VAN DEN HOEK Aad | 77 |
| 13 | SERGEANT Marc | 76 |
| 18 | DE WILDE Etienne | 70 |
| 19 | YATES Sean | 74 |
| 20 | PRIEM Cees | 75 |
| 49 | NEVENS Jan | 58 |