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 - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EL FARES Julien | 62 |
| 2 | DUMA Vladimir | 64 |
| 3 | BENNATI Daniele | 71 |
| 4 | PETACCHI Alessandro | 70 |
| 5 | BOONEN Tom | 82 |
| 6 | WEGMANN Fabian | 60 |
| 8 | DUQUE Leonardo Fabio | 59 |
| 9 | BAZAYEV Assan | 62 |
| 10 | KNAVEN Servais | 68 |
| 11 | BRESCHEL Matti | 70 |
| 12 | ROLLIN Dominique | 83 |