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 - 16
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHETOUT Loïc | 70 |
| 2 | DUMOURIER Florian | 60 |
| 3 | THEVENOT Guillaume | 69 |
| 4 | PACHER Quentin | 62 |
| 5 | OCHOA Diego Antonio | 61 |
| 6 | VINJEBO Emil Mielke | 67 |
| 9 | BENOOT Tiesj | 72 |
| 13 | GOOLAERTS Michael | 80 |
| 14 | EVERSDIJK Matthijs | 67.5 |
| 15 | OSORIO Juan Felipe | 65 |