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 = -3.5 * weight + 262
This means that on average for every extra kilogram weight a rider loses -3.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KINO Jan | 69 |
| 3 | GRUEL Thibaud | 70 |
| 6 | DEVROUTE Corentin | 71 |
| 7 | PEATFIELD Benjamin | 76 |
| 23 | JACQUES Lucas | 67 |
| 37 | PRESTIANNI Sacha | 64 |
| 54 | GOETHALS Thibault | 56 |
| 57 | KRAEMER Léo | 63 |
| 61 | GOMEZ Camilo Andres | 64.5 |