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 * weight + 117
This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | RAJOVIĆ Dušan | 74 |
| 5 | HONIG Reinier | 61 |
| 8 | VILORIA Enmanuel David | 64 |
| 20 | TAGLIANI Filippo | 70 |
| 37 | VAN EMPEL Etienne | 64 |
| 38 | ROJAS Brandon Alejandro | 64 |
| 40 | ALBA Juan Diego | 59 |
| 49 | MERCHAN Didier | 57 |
| 51 | VIGO Martí | 66 |
| 52 | OSORIO Juan Felipe | 65 |
| 66 | RUBIANO Miguel Angel | 58 |
| 70 | RESTREPO Juan Pablo | 58 |
| 90 | MARCHIORI Leonardo | 70 |
| 91 | GANDIN Stefano | 69 |
| 122 | REVETE Brayan | 62 |