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 | GARCÍA DE MATEOS Vicente | 68 |
| 2 | CALDEIRA Samuel José | 76 |
| 3 | VIGANÒ Davide | 67 |
| 4 | CARDOSO Filipe | 70 |
| 5 | PRADES Eduard | 63 |
| 7 | GONÇALVES José | 70 |
| 8 | SÁEZ Héctor | 75 |
| 9 | SILVA Bruno | 59 |
| 10 | GALLEGO Alberto | 62 |
| 11 | MESTRE Daniel | 65 |
| 12 | MARQUE Alejandro Manuel | 68 |
| 13 | PREMONT Christophe | 69 |
| 14 | OCKELOEN Jasper | 66 |
| 15 | CALLEEUW Joeri | 71 |