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 = 0.2 * weight - 7
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JULIEN Matisse | 70 |
| 3 | VAN DEN BROEK Frank | 70 |
| 4 | WEULINK Meindert | 62 |
| 5 | CAÑELLAS Xavier | 66 |
| 11 | GOUGEARD Alexis | 70 |
| 12 | KLEVGÅRD Kristian | 74 |
| 13 | BARBIER Rudy | 79 |
| 16 | DE LANGE Thijs | 58 |
| 17 | LECAMUS-LAMBERT Florentin | 79 |