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 + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SWIFT Ben | 69 |
| 2 | BELLETTI Manuel | 72 |
| 3 | KVASINA Matija | 72 |
| 4 | BOLE Grega | 69 |
| 5 | BONGIORNO Francesco Manuel | 56 |
| 7 | AGNOLI Valerio | 72 |
| 8 | GAVAZZI Francesco | 65 |
| 9 | KRAGH ANDERSEN Asbjørn | 72 |
| 10 | QUINTERO Carlos | 63 |
| 11 | ÁVILA Edwin | 61 |
| 12 | KRAGH ANDERSEN Søren | 73 |
| 13 | SIUTSOU Kanstantsin | 68 |
| 14 | VIGANÒ Davide | 67 |