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 = 33.6 * weight - 1486
This means that on average for every extra kilogram weight a rider loses 33.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BALDATO Fabio | 60 |
| 5 | BERZIN Evgeni | 64 |
| 990 | FONDRIEST Maurizio | 70 |
| 990 | STRAZZER Massimo | 68 |
| 990 | TAFI Andrea | 73 |
| 990 | CASAGRANDE Francesco | 64 |
| 990 | CIPOLLINI Mario | 77 |
| 990 | LEONI Endrio | 74 |
| 990 | ELLI Alberto | 71 |
| 990 | GUERINI Giuseppe | 65 |
| 990 | REBELLIN Davide | 63 |
| 990 | SØRENSEN Rolf | 70 |
| 990 | BORTOLAMI Gianluca | 73 |
| 990 | SCIANDRI Maximilian | 75 |
| 990 | ZANINI Stefano | 80 |