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 - 13
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOLLEMA Bauke | 64 |
| 2 | LEVARLET Guillaume | 67 |
| 3 | GAUTIER Cyril | 65 |
| 4 | ROUX Anthony | 73 |
| 6 | GRABOVSKYY Dmytro | 69 |
| 7 | JEANNESSON Arnold | 65 |
| 8 | SENAC Jean-Charles | 63 |
| 9 | SONNERY Blaise | 60 |
| 10 | FRÖHLINGER Johannes | 62 |
| 11 | KRUIJSWIJK Steven | 63 |
| 12 | LOUBET Julien | 66 |
| 13 | GRUZDEV Dmitriy | 78 |
| 14 | ROLLAND Pierre | 70 |
| 15 | BOUET Maxime | 67 |
| 16 | LEEZER Tom | 76 |
| 18 | PINEAU Cédric | 68 |