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 + 46
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JÉGOU Lilian | 71 |
| 2 | TIMMER Albert | 77 |
| 5 | GALLAND Jérémie | 62 |
| 6 | FEILLU Brice | 69 |
| 7 | DAVIS Allan | 73 |
| 8 | VOECKLER Thomas | 71 |
| 9 | HAYMAN Mathew | 78 |
| 10 | GAUTIER Cyril | 65 |
| 11 | MONCOUTIÉ David | 69 |
| 12 | KOLOBNEV Alexandr | 64 |
| 13 | BIDEAU Jean-Marc | 73 |
| 14 | CHEREL Mikaël | 65 |
| 15 | MOINARD Amaël | 69 |
| 16 | SØRENSEN Chris Anker | 64 |
| 17 | EL FARES Julien | 62 |
| 18 | REDA Francesco | 70 |
| 19 | CATALDO Dario | 64 |