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 + 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | CABELLO Francisco | 72 |
| 4 | HAMBURGER Bo | 58 |
| 5 | EKIMOV Viatcheslav | 69 |
| 7 | EDO Ángel | 64 |
| 9 | DEN BAKKER Maarten | 71 |
| 12 | GARCÍA CASAS Félix Miguel | 63 |
| 16 | WELTZ Johnny | 65 |
| 18 | LELLI Massimiliano | 69 |
| 19 | BARTOLI Michele | 65 |
| 20 | CORDES Tom | 70 |