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 + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KUMP Marko | 68 |
| 2 | GAVAZZI Mattia | 70 |
| 4 | MARECZKO Jakub | 67 |
| 5 | SAVITSKIY Ivan | 72 |
| 6 | TAMOURIDIS Ioannis | 70 |
| 7 | MARINI Nicolas | 72 |
| 9 | BERTAZZO Liam | 75 |
| 11 | WACKERMANN Luca | 68 |
| 12 | VAUBOURZEIX Thomas | 70 |
| 14 | VASYLYUK Andriy | 65 |
| 15 | AVERIN Maksym | 74 |
| 17 | LUNARDON Paolo | 77 |
| 20 | PIBERNIK Luka | 60 |