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 = 0.9 * weight + 3
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RAJOVIĆ Dušan | 74 |
| 13 | RUBIANO Miguel Angel | 58 |
| 32 | ALBA Juan Diego | 59 |
| 33 | OSORIO Juan Felipe | 65 |
| 37 | VIGO Martí | 66 |
| 39 | RESTREPO Juan Pablo | 58 |
| 48 | REVETE Brayan | 62 |
| 69 | HONIG Reinier | 61 |
| 73 | MERCHAN Didier | 57 |
| 76 | VAN EMPEL Etienne | 64 |
| 81 | MARCHIORI Leonardo | 70 |
| 84 | GANDIN Stefano | 69 |
| 88 | ROJAS Brandon Alejandro | 64 |
| 102 | VILORIA Enmanuel David | 64 |
| 106 | TAGLIANI Filippo | 70 |