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 = 0.7 * weight - 38
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FONDRIEST Maurizio | 70 |
| 2 | CHIAPPUCCI Claudio | 67 |
| 4 | BELLI Wladimir | 64 |
| 5 | PANTANI Marco | 58 |
| 6 | CASAGRANDE Francesco | 64 |
| 7 | JASKUŁA Zenon | 76 |
| 12 | REBELLIN Davide | 63 |
| 13 | TONKOV Pavel | 70 |
| 15 | BOURGUIGNON Thierry | 72 |
| 17 | LELLI Massimiliano | 69 |
| 20 | BUGNO Gianni | 68 |
| 22 | KONYSHEV Dmitry | 77 |
| 25 | CENGHIALTA Bruno | 73 |