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 + 49
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CASAGRANDE Francesco | 64 |
| 4 | CHIAPPUCCI Claudio | 67 |
| 5 | TAFI Andrea | 73 |
| 7 | DONATI Massimo | 75 |
| 8 | HAMBURGER Bo | 58 |
| 9 | VIRENQUE Richard | 65 |
| 11 | MUSEEUW Johan | 71 |
| 12 | JASKUŁA Zenon | 76 |
| 15 | VOSKAMP Bart | 75 |
| 16 | HOLM SØRENSEN Brian | 77 |
| 17 | GIANETTI Mauro | 62 |
| 21 | ARROYO Miguel | 59 |
| 25 | FONDRIEST Maurizio | 70 |
| 27 | FRATTINI Francesco | 60 |
| 30 | TOTSCHNIG Georg | 62 |
| 31 | MEIER Roland | 60 |