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 - 10
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | CASAGRANDE Francesco | 64 |
| 5 | TAFI Andrea | 73 |
| 6 | ZBERG Beat | 72 |
| 7 | MAZZANTI Luca | 64 |
| 9 | CELESTINO Mirko | 67 |
| 10 | KONYSHEV Dmitry | 77 |
| 12 | BERTOLINI Alessandro | 63 |
| 13 | REBELLIN Davide | 63 |
| 14 | MAGNANI Marco | 64 |
| 16 | UGRUMOV Piotr | 58 |
| 17 | MERCKX Axel | 77 |
| 19 | JAN Xavier | 62 |
| 22 | PETITO Roberto | 78 |
| 26 | DONATI Massimo | 75 |
| 28 | SCIANDRI Maximilian | 75 |