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 - 9
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DENIFL Stefan | 65 |
| 2 | JANORSCHKE Grischa | 78 |
| 3 | BARDET Romain | 65 |
| 4 | KADRI Blel | 66 |
| 5 | CHEREL Mikaël | 65 |
| 6 | GAUTIER Cyril | 65 |
| 7 | PÉREZ Rubén | 65 |
| 9 | ARNDT Nikias | 77.5 |
| 10 | BAUER Jack | 74 |
| 11 | BOL Jetse | 71 |