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 = 1 * weight - 52
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARGENTIN Moreno | 66 |
| 2 | BERZIN Evgeni | 64 |
| 3 | CASAGRANDE Francesco | 64 |
| 4 | PANTANI Marco | 58 |
| 7 | BARTOLI Michele | 65 |
| 8 | REBELLIN Davide | 63 |
| 9 | CHIAPPUCCI Claudio | 67 |
| 12 | BUGNO Gianni | 68 |
| 15 | GOTTI Ivan | 65 |
| 17 | TONKOV Pavel | 70 |
| 19 | BOURGUIGNON Thierry | 72 |
| 20 | BONČA Valter | 63 |
| 21 | SHEFER Alexandre | 68 |
| 22 | PICCOLI Mariano | 64 |
| 23 | ZANINI Stefano | 80 |
| 25 | CENGHIALTA Bruno | 73 |