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 = 0.9 * weight - 36
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | SERGEANT Marc | 76 |
| 6 | FONDRIEST Maurizio | 70 |
| 9 | NEVENS Jan | 58 |
| 12 | MUSEEUW Johan | 71 |
| 14 | TOLHOEK Patrick | 63 |
| 16 | DERNIES Michel | 75 |
| 19 | DE WOLF Fons | 75 |
| 25 | HOLM SØRENSEN Brian | 77 |
| 29 | ILEGEMS Roger | 74 |
| 50 | BUGNO Gianni | 68 |
| 55 | BRUYNEEL Johan | 71 |
| 64 | CAROLI Daniele | 77 |