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 + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TARLING Joshua | 78 |
| 2 | BARONCINI Filippo | 74 |
| 3 | SCHMID Mauro | 70 |
| 4 | LAPEIRA Paul | 64 |
| 5 | BERCKMOES Jenno | 61 |
| 6 | KIELICH Timo | 73 |
| 7 | PALENI Enzo | 65 |
| 8 | DE LIE Arnaud | 78 |
| 9 | STEWART Jake | 66 |
| 10 | LE BERRE Mathis | 68 |
| 11 | VAN TRICHT Stan | 64 |
| 12 | NYS Thibau | 64 |
| 13 | PITHIE Laurence | 74 |
| 14 | VAN BOVEN Luca | 68 |
| 15 | RONHAAR Pim | 60 |
| 16 | DESAL Ceriel | 76 |