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 = -1.5 * weight + 125
This means that on average for every extra kilogram weight a rider loses -1.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | THIÈRY Cyrille | 67 |
| 2 | DILLIER Silvan | 75 |
| 22 | AREGGER Marcel | 70 |
| 25 | HNÍK Karel | 57 |
| 27 | SCHELLING Patrick | 61 |
| 32 | BOSWELL Ian | 70 |
| 35 | INDERGAND Reto | 64 |
| 49 | JAUN Lukas | 66 |
| 59 | HIRAI Eiichi | 63 |