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 - 14
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZBERG Beat | 72 |
| 2 | CELESTINO Mirko | 67 |
| 4 | CASAGRANDE Francesco | 64 |
| 7 | MAZZANTI Luca | 64 |
| 10 | DONATI Massimo | 75 |
| 13 | SIMONI Gilberto | 59 |
| 17 | TAFI Andrea | 73 |
| 18 | VALOTI Paolo | 64 |
| 23 | MAGNANI Marco | 64 |
| 25 | MERCKX Axel | 77 |
| 27 | GIANETTI Mauro | 62 |
| 29 | CASAGRANDE Filippo | 63 |
| 34 | HUNDERTMARCK Kai | 72 |
| 35 | SCIANDRI Maximilian | 75 |
| 37 | TETERIOUK Andrei | 72 |