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 + 41
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LELLI Massimiliano | 69 |
| 4 | CASAGRANDE Francesco | 64 |
| 7 | REBELLIN Davide | 63 |
| 9 | ROCHE Stephen | 74 |
| 12 | JASKUŁA Zenon | 76 |
| 19 | CENGHIALTA Bruno | 73 |
| 21 | ARGENTIN Moreno | 66 |
| 22 | BUGNO Gianni | 68 |
| 23 | MEJIA Alvaro | 63 |
| 32 | BERZIN Evgeni | 64 |
| 36 | PICCOLI Mariano | 64 |
| 45 | SCIREA Mario | 80 |
| 53 | ELLI Alberto | 71 |
| 56 | FRATTINI Francesco | 60 |
| 57 | BALDATO Fabio | 60 |
| 61 | PAGNIN Roberto | 74 |