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 = -0.9 * weight + 78
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SÉNÉCHAL Florian | 77 |
| 3 | LE GAC Olivier | 70 |
| 7 | BENOOT Tiesj | 72 |
| 9 | THEVENOT Guillaume | 69 |
| 13 | EYSKENS Jeroen | 68 |
| 14 | MOTTIER Justin | 65 |
| 18 | GODRIE Stan | 74 |
| 21 | FOURNIER Marc | 71 |
| 24 | LECUISINIER Pierre-Henri | 65 |