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 = -0.4 * weight + 40
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BARTOLI Michele | 65 |
| 3 | ZBERG Beat | 72 |
| 5 | FONTANELLI Fabiano | 68 |
| 6 | SHEFER Alexandre | 68 |
| 7 | BORTOLAMI Gianluca | 73 |
| 9 | FRIGO Dario | 66 |
| 10 | COLOMBO Gabriele | 70 |
| 12 | REBELLIN Davide | 63 |
| 13 | CASAGRANDE Francesco | 64 |
| 15 | BELLI Wladimir | 64 |
| 18 | TETERIOUK Andrei | 72 |
| 21 | GUIDI Fabrizio | 73 |
| 22 | GIANETTI Mauro | 62 |
| 23 | BONČA Valter | 63 |