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 - 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEL TORO Isaac | 64 |
| 2 | ONLEY Oscar | 62 |
| 3 | TRONCHON Bastien | 72 |
| 4 | PITHIE Laurence | 74 |
| 5 | GAROFOLI Gianmarco | 62 |
| 6 | MORGADO António | 71 |
| 7 | TARLING Joshua | 78 |
| 9 | VACEK Mathias | 75 |
| 10 | PALENI Enzo | 65 |
| 11 | MIHKELS Madis | 75 |
| 12 | GELDERS Gil | 66 |
| 13 | MIHOLJEVIĆ Fran | 72 |
| 14 | MORO Manlio | 81 |
| 15 | BITTNER Pavel | 73 |
| 17 | ROOTKIN-GRAY Jack | 67 |
| 18 | STAUNE-MITTET Johannes | 67 |