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 + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PESCHEL Uwe | 72 |
| 4 | MILLAR David | 79 |
| 5 | OZOLS Dainis | 74 |
| 6 | KIRSIPUU Jaan | 80 |
| 7 | LANGELLA Anthony | 76 |
| 8 | MOREAU Francis | 77 |
| 9 | BARTHE Stéphane | 65 |
| 11 | DURAND Jacky | 76 |
| 12 | HVASTIJA Martin | 75 |
| 14 | SEIGNEUR Eddy | 71 |
| 15 | VOIGT Jens | 76 |