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 = -0.7 * weight + 58
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | FETTER Erik | 70 |
| 5 | SCHWARZBACHER Matthias | 72 |
| 6 | CONTI Valerio | 61 |
| 10 | BOICHIS Adrien | 68 |
| 12 | SCHRETTL Marco | 63 |
| 13 | STÜSSI Colin | 68 |
| 17 | MARTÍN Marco | 56 |
| 19 | SIMS Oliver | 58 |