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 = 0.3 * weight + 1
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BUGNO Gianni | 68 |
| 8 | SCIANDRI Maximilian | 75 |
| 9 | LELLI Massimiliano | 69 |
| 12 | FONTANELLI Fabiano | 68 |
| 14 | CASAGRANDE Francesco | 64 |
| 19 | CENGHIALTA Bruno | 73 |
| 20 | REBELLIN Davide | 63 |
| 26 | DONATI Massimo | 75 |
| 28 | GIUPPONI Flavio | 60 |
| 30 | BALLERINI Franco | 78 |
| 35 | FONDRIEST Maurizio | 70 |
| 38 | ELLI Alberto | 71 |