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:
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEBESAY Yakob | 63 |
| 2 | ARERUYA Joseph | 74 |
| 3 | BELLICAUD Jeremy | 56 |
| 4 | MULUBRHAN Henok | 60 |
| 6 | FEDELI Alessandro | 65 |
| 7 | MUGISHA Samuel | 62 |
| 8 | MANIZABAYO Eric | 72 |
| 11 | GIRMAY Biniam | 70 |
| 12 | DOLEATTO Aurélien | 61 |
| 13 | ARAUJO Bruno | 68 |
| 14 | NATAROV Yuriy | 68 |
| 15 | FERRON Valentin | 67 |
| 16 | MUGISHA Moise | 58 |
| 17 | GUGLIELMI Simon | 66 |
| 24 | MOZZATO Luca | 67 |