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 = -0.3 * weight + 29
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PAILLOT Yoann | 72 |
| 3 | TURGIS Jimmy | 63 |
| 4 | GUILLEMOIS Romain | 66 |
| 6 | MORICE Julien | 81 |
| 8 | CHETOUT Loïc | 70 |
| 10 | DE BIE Sean | 65 |
| 20 | SUTER Gaël | 70 |
| 21 | COMBAUD Romain | 63 |