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 = -0.8 * weight + 65
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SAMOILAU Branislau | 77 |
| 4 | BLAIN Alexandre | 82 |
| 6 | SEROV Alexander | 77 |
| 7 | DE GREEF Francis | 77 |
| 9 | TRUSOV Nikolay | 77 |
| 10 | BRUTT Pavel | 70 |
| 13 | DE WILDE Sjef | 74 |
| 14 | ZONNEVELD Thijs | 63 |
| 17 | VANENDERT Jelle | 62 |
| 25 | LOSADA Alberto | 69 |