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 - 32
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN HECKE Preben | 69 |
| 4 | DE WEERT Kevin | 70 |
| 6 | KNEES Christian | 81 |
| 8 | ABAKOUMOV Igor | 68 |
| 9 | GILBERT Philippe | 75 |
| 11 | NEIRYNCK Kevin | 71 |
| 12 | STEURS Geert | 77 |
| 17 | DE VOCHT Wim | 78 |
| 19 | LISABETH Kenny | 75 |