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 = -0.1 * weight + 24
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HADDOU Saïd | 80 |
| 3 | NYS Sven | 73 |
| 4 | VERVECKEN Erwin | 78 |
| 6 | GERRANS Simon | 62 |
| 8 | RAVARD Anthony | 62 |
| 9 | LEMOINE Cyril | 73 |
| 12 | BERDEN Ben | 69 |
| 14 | DELPECH Jean-Luc | 72 |
| 16 | BONNET William | 80 |
| 17 | DURET Sébastien | 62 |
| 21 | AERNOUTS Bart | 60 |
| 25 | MORIN Anthony | 79 |
| 27 | DEKKER Thomas | 69 |
| 30 | COUTOULY Cédric | 72 |