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 = -0.1 * weight + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARAMENDIA Javier | 72 |
| 2 | ŠTANGELJ Gorazd | 70 |
| 3 | CHEREL Mikaël | 65 |
| 4 | GIORDANI Leonardo | 68 |
| 5 | SCARPONI Michele | 62 |
| 6 | MADRAZO Ángel | 61 |
| 7 | KAISEN Olivier | 82 |
| 8 | DI LUCA Danilo | 61 |
| 9 | NUYENS Nick | 68 |
| 10 | CUNEGO Damiano | 58 |
| 11 | SCHLECK Andy | 68 |
| 12 | GATTO Oscar | 67 |
| 13 | LANG Sebastian | 77 |
| 14 | EVANS Cadel | 64 |
| 15 | POELS Wout | 66 |
| 16 | MONTAGUTI Matteo | 65 |