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 + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MORICE Julien | 81 |
| 2 | BILLE Gaëtan | 67 |
| 3 | BOECKMANS Kris | 76 |
| 4 | VAN BREUSSEGEM Elias | 68 |
| 5 | COLEDAN Marco | 83 |
| 6 | GOOLAERTS Michael | 80 |
| 7 | MIHAYLOV Nikolay | 70 |
| 8 | MORENO Javier | 63 |
| 10 | COQUARD Bryan | 59 |