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 = 1.6 * weight - 80
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SUKHORUCHENKOV Sergei | 72 |
| 4 | UGRUMOV Piotr | 58 |
| 14 | MATĚJKA Libor | 56 |
| 28 | HALÁSZ Zoltán | 68 |
| 34 | HALÁSZ László | 70 |
| 41 | DOMÍNGUEZ Manuel Jorge | 67 |
| 43 | POLI Eros | 87 |
| 67 | SZUROMI György | 85 |
| 70 | INDURÁIN Miguel | 76 |