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 = -0.7 * weight + 62
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | KIRSIPUU Jaan | 80 |
| 4 | NAZON Damien | 68 |
| 5 | MONCASSIN Frédéric | 73 |
| 6 | BROCHARD Laurent | 68 |
| 8 | BARTHE Stéphane | 65 |
| 11 | HVASTIJA Martin | 75 |
| 12 | AUGER Ludovic | 78 |
| 13 | PRETOT Arnaud | 71 |
| 16 | SIMON François | 70 |
| 17 | DA CRUZ Carlos | 74 |
| 18 | AGNOLUTTO Christophe | 69 |
| 19 | LANGELLA Anthony | 76 |
| 22 | MONCOUTIÉ David | 69 |
| 24 | RENIER Franck | 69 |
| 25 | PICHON Mickaël | 62 |
| 27 | HERVÉ Pascal | 62 |