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 - 38
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | GUALDI Simone | 61 |
| 4 | ØXENBERG Peter | 69 |
| 5 | MICHELS Jente | 59 |
| 10 | VAN KERCKHOVE Matisse | 70 |
| 13 | BARHOUMI Ilian Alexandre | 73 |
| 15 | AVILA Freddy Alejandro | 70 |
| 17 | GAJDULEWICZ Mateusz | 67 |
| 18 | BASSET Pierre-Henry | 69 |