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 + 26
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FOUCHÉ James | 71 |
| 2 | CULVERWELL Sam | 71 |
| 5 | LUNDER Eirik | 78 |
| 6 | MUDGWAY Luke | 65 |
| 7 | VAUQUELIN Kévin | 69 |
| 8 | NIKITIN Matvey | 61 |
| 9 | BATT Ethan | 76 |
| 11 | THIÈRY Cyrille | 67 |
| 12 | ORRICO Davide | 70 |
| 14 | MEILER Lukas | 65 |