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 = 0.6 * weight - 19
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CIPOLLINI Mario | 77 |
| 4 | MUSEEUW Johan | 71 |
| 5 | BOMANS Carlo | 74 |
| 16 | PIETERS Peter | 82 |
| 21 | DE WILDE Etienne | 70 |
| 28 | DEMOL Dirk | 72 |
| 30 | PRADO Vicente | 69 |
| 32 | VANDERAERDEN Eric | 74 |
| 33 | VEENSTRA Wiebren | 70 |
| 38 | LEYSEN Bart | 75 |
| 40 | SERGEANT Marc | 76 |
| 47 | WAMPERS Jean-Marie | 82 |
| 50 | PEETERS Wilfried | 76 |