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 = -0.4 * weight + 34
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZOIDL Riccardo | 63 |
| 2 | FORTIN Filippo | 78 |
| 3 | SISR František | 72 |
| 4 | BOGUSŁAWSKI Marceli | 77 |
| 5 | PFINGSTEN Christoph | 69 |
| 7 | MAŁECKI Kamil | 69 |
| 8 | SCHILLINGER Andreas | 72 |
| 9 | PACIONI Luca | 67 |
| 10 | STOSZ Patryk | 70 |
| 12 | BARBIN Enrico | 60 |
| 13 | BAJC Andi | 65 |
| 14 | KISTOWSKI Kacper | 67 |
| 15 | KATRAŠNIK Gašper | 69 |
| 16 | SARAMOTINS Aleksejs | 75 |
| 17 | LEHNER Daniel | 63 |