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 = -0.1 * weight + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CASAGRANDE Filippo | 63 |
| 2 | CASAGRANDE Francesco | 64 |
| 3 | TAFI Andrea | 73 |
| 4 | FONDRIEST Maurizio | 70 |
| 5 | ELLI Alberto | 71 |
| 7 | REBELLIN Davide | 63 |
| 8 | MERCKX Axel | 77 |
| 9 | DONATI Massimo | 75 |
| 11 | GUIDI Fabrizio | 73 |
| 13 | VANZELLA Flavio | 78 |
| 14 | NARDELLO Daniele | 74 |
| 19 | GIANETTI Mauro | 62 |
| 25 | BONČA Valter | 63 |