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 + 26
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PLANCKAERT Edward | 71 |
| 2 | ALBANESE Vincenzo | 70 |
| 3 | BUITRAGO Santiago | 59 |
| 4 | SERRANO Gonzalo | 65 |
| 5 | BARDET Romain | 65 |
| 6 | STANNARD Robert | 74 |
| 7 | FLÓREZ Miguel Eduardo | 57 |
| 8 | BOL Jetse | 71 |
| 9 | LANDA Mikel | 61 |
| 10 | LEDANOIS Kévin | 67 |
| 11 | LASTRA Jonathan | 64 |
| 12 | CALMEJANE Lilian | 70 |
| 13 | ZWIEHOFF Ben | 61 |
| 14 | BOUCHARD Geoffrey | 63 |
| 15 | HÄNNINEN Jaakko | 60 |