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 = 22.9 * weight - 909
This means that on average for every extra kilogram weight a rider loses 22.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FONDRIEST Maurizio | 70 |
| 2 | BORTOLAMI Gianluca | 73 |
| 4 | REBELLIN Davide | 63 |
| 5 | ROBIN Jean-Cyril | 63 |
| 7 | CASAGRANDE Francesco | 64 |
| 990 | CENGHIALTA Bruno | 73 |
| 990 | JASKUŁA Zenon | 76 |
| 990 | CHIAPPUCCI Claudio | 67 |
| 990 | BUGNO Gianni | 68 |
| 990 | BOURGUIGNON Thierry | 72 |
| 990 | PANTANI Marco | 58 |
| 990 | LELLI Massimiliano | 69 |
| 990 | TONKOV Pavel | 70 |
| 990 | KONYSHEV Dmitry | 77 |
| 990 | BELLI Wladimir | 64 |