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 = -0.2 * weight + 32
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PONZI Simone | 63 |
| 2 | MEZGEC Luka | 72 |
| 4 | KOCJAN Jure | 72 |
| 5 | RICHEZE Maximiliano | 68 |
| 6 | CIMOLAI Davide | 70 |
| 7 | TSATEVICH Alexey | 64 |
| 11 | STRGAR Matic | 62 |
| 12 | POLANC Jan | 62 |
| 13 | ŠTIMULAK Klemen | 64 |
| 16 | NAGY Robert | 52 |
| 19 | BAJC Andi | 65 |
| 21 | BELLOTTI Francesco | 65 |
| 22 | KUSZTOR Péter | 61 |
| 36 | KOCHETKOV Pavel | 70 |
| 41 | FINETTO Mauro | 62 |
| 42 | WURF Cameron | 71 |
| 58 | DVORSKY David | 64 |