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 = 0.9 * weight - 42
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOLE Grega | 69 |
| 2 | STORTONI Simone | 59 |
| 4 | BRAMBILLA Gianluca | 57 |
| 10 | BANDIERA Marco | 68 |
| 13 | FINETTO Mauro | 62 |
| 15 | BISOLTI Alessandro | 58 |
| 17 | RICCI BITTI Davide | 60 |
| 22 | NISSEN Søren | 65 |
| 23 | VREČER Robert | 68 |
| 25 | KUSZTOR Péter | 61 |
| 29 | DMITRIYEV Valeriy | 69 |
| 32 | CRAVEN Dan | 75 |