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 = -0.1 * weight + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MUSEEUW Johan | 71 |
| 3 | ALDAG Rolf | 75 |
| 4 | DE WILDE Etienne | 70 |
| 7 | VAN DER POEL Adrie | 70 |
| 8 | PEETERS Wilfried | 76 |
| 9 | HOFFMAN Tristan | 80 |
| 11 | KELLY Sean | 77 |
| 12 | SLANE Paul | 64 |
| 15 | FONDRIEST Maurizio | 70 |
| 18 | BÖLTS Udo | 73 |