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 = 0.6 * weight - 31
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VALVERDE Alejandro | 61 |
| 2 | VICIOSO Ángel | 60 |
| 3 | REBELLIN Davide | 63 |
| 4 | ASTARLOA Igor | 61 |
| 5 | MAYO Iban | 65 |
| 6 | WEGMANN Fabian | 60 |
| 7 | HAMILTON Tyler | 65 |
| 8 | KIRCHEN Kim | 68 |
| 9 | ZBERG Beat | 72 |
| 10 | FOFONOV Dmitriy | 65 |