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 = -0.5 * weight + 52
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BERZIN Evgeni | 64 |
| 2 | CHIAPPUCCI Claudio | 67 |
| 10 | ELLI Alberto | 71 |
| 13 | GIANETTI Mauro | 62 |
| 15 | REBELLIN Davide | 63 |
| 16 | BONČA Valter | 63 |
| 17 | NOÈ Andrea | 65 |
| 21 | BELLI Wladimir | 64 |
| 22 | PANTANI Marco | 58 |
| 25 | LODA Nicola | 73 |
| 30 | PICCOLI Mariano | 64 |
| 32 | SØRENSEN Rolf | 70 |
| 43 | UGRUMOV Piotr | 58 |