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 = 0.5 * weight - 25
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AREGGER Marcel | 70 |
| 2 | DILLIER Silvan | 75 |
| 3 | SCHELLING Patrick | 61 |
| 5 | REICHENBACH Sébastien | 64 |
| 6 | THIÈRY Cyrille | 67 |
| 8 | PELLAUD Simon | 70 |
| 20 | JAUN Lukas | 66 |
| 21 | CHAVANNE Gabriel | 83 |
| 32 | SUTER Gaël | 70 |