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 - 2
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AYUSO Juan | 65 |
| 2 | GRÉGOIRE Romain | 64 |
| 3 | GERMANI Lorenzo | 62 |
| 4 | DEL TORO Isaac | 64 |
| 5 | GAROFOLI Gianmarco | 62 |
| 7 | DE PRETTO Davide | 58 |
| 9 | LECERF Junior | 54 |
| 11 | GELDERS Gil | 66 |
| 12 | FAURE PROST Alexy | 67 |
| 13 | STAUNE-MITTET Johannes | 67 |
| 15 | ONLEY Oscar | 62 |
| 16 | ARRIETA Igor | 64 |