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 = 13.4 * weight - 369
This means that on average for every extra kilogram weight a rider loses 13.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAUER Steve | 72 |
| 6 | KELLY Sean | 77 |
| 9 | DERNIES Michel | 75 |
| 15 | GIANETTI Mauro | 62 |
| 18 | JÄRMANN Rolf | 73 |
| 19 | WECHSELBERGER Helmut | 71 |
| 990 | SWART Steve | 74 |
| 990 | SKIBBY Jesper | 70 |
| 990 | HODGE Stephen | 74 |
| 990 | FONDRIEST Maurizio | 70 |
| 990 | HOLM SØRENSEN Brian | 77 |
| 990 | CENGHIALTA Bruno | 73 |
| 990 | CAROLI Daniele | 77 |
| 990 | DOMÍNGUEZ Manuel Jorge | 67 |
| 990 | BRUYNEEL Johan | 71 |