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 = -0.3 * weight + 34
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DURET Sébastien | 62 |
| 3 | ROJAS José Joaquín | 70 |
| 4 | LEVARLET Guillaume | 67 |
| 5 | MOREAU Christophe | 71 |
| 7 | ROLLAND Pierre | 70 |
| 8 | HALGAND Patrice | 67 |
| 9 | DELPECH Jean-Luc | 72 |
| 10 | JALABERT Nicolas | 68 |
| 11 | CHARTEAU Anthony | 67 |
| 12 | JÉGOU Lilian | 71 |
| 13 | CHAVANEL Sylvain | 73 |
| 15 | CUSIN Rémi | 65 |
| 16 | GOUBERT Stéphane | 62 |
| 17 | FÉDRIGO Pierrick | 66 |
| 18 | PEREIRO Óscar | 67 |
| 20 | AUGÉ Stéphane | 65 |
| 21 | PINEAU Cédric | 68 |