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 = 0.6 * weight - 32
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BERZIN Evgeni | 64 |
| 5 | ELLI Alberto | 71 |
| 6 | GUERINI Giuseppe | 65 |
| 9 | CASAGRANDE Francesco | 64 |
| 10 | REBELLIN Davide | 63 |
| 11 | FONDRIEST Maurizio | 70 |
| 12 | SØRENSEN Rolf | 70 |
| 13 | BORTOLAMI Gianluca | 73 |
| 15 | SCIANDRI Maximilian | 75 |
| 17 | ZANINI Stefano | 80 |