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 * weight + 6
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VALVERDE Alejandro | 61 |
| 2 | FREIRE Óscar | 63 |
| 3 | REBELLIN Davide | 63 |
| 4 | MARTÍN PERDIGUERO Miguel Ángel | 63 |
| 5 | SCHLECK Fränk | 65 |
| 6 | HORNER Chris | 70 |
| 7 | MARZOLI Ruggero | 61 |
| 9 | OSA Aitor | 64 |
| 10 | SERRANO Ricardo | 67 |
| 11 | MORENI Cristian | 65 |
| 13 | MORI Manuele | 62 |
| 14 | SINKEWITZ Patrik | 63 |
| 15 | GARZELLI Stefano | 62 |