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 = 2.2 * weight - 96
This means that on average for every extra kilogram weight a rider loses 2.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MERCHAN Didier | 57 |
| 6 | ALBA Juan Diego | 59 |
| 16 | HONIG Reinier | 61 |
| 17 | ROJAS Brandon Alejandro | 64 |
| 20 | OSORIO Juan Felipe | 65 |
| 31 | GANDIN Stefano | 69 |
| 36 | RUBIANO Miguel Angel | 58 |
| 53 | VILORIA Enmanuel David | 64 |
| 54 | RESTREPO Juan Pablo | 58 |
| 70 | VAN EMPEL Etienne | 64 |
| 73 | RAJOVIĆ Dušan | 74 |
| 101 | REVETE Brayan | 62 |