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 - 29
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BRUYLANDTS Dave | 63 |
| 3 | BAGUET Serge | 67 |
| 4 | SUNDERLAND Scott | 65 |
| 5 | OMLOOP Geert | 78 |
| 7 | VANSEVENANT Wim | 65 |
| 9 | PRONK Matthé | 73 |
| 13 | VAN BONDT Geert | 71 |
| 14 | KROON Karsten | 67 |
| 19 | SCHEIRLINCKX Staf | 78 |
| 20 | PANKOV Oleg | 72 |
| 23 | DE CLERCQ Hans | 80 |
| 24 | CAPELLE Ludovic | 75 |
| 25 | ENGELS Addy | 64 |