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 = 0.2 * weight + 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEKKER Thomas | 69 |
| 2 | DE KORT Koen | 69 |
| 3 | BARTHE Stéphane | 65 |
| 4 | ROBERTS Luke | 71 |
| 5 | LEMOINE Cyril | 73 |
| 6 | HADDOU Saïd | 80 |
| 10 | DURET Sébastien | 62 |
| 11 | DE MAAR Marc | 70 |
| 12 | RETSCHKE Robert | 66 |
| 14 | COUTOULY Cédric | 72 |
| 17 | BONNET William | 80 |
| 20 | STUBBE Tom | 66 |
| 21 | MORIN Anthony | 79 |
| 23 | GERRANS Simon | 62 |
| 27 | NYS Sven | 73 |
| 28 | DELPECH Jean-Luc | 72 |