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 = 0.7 * weight - 14
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | SEVILLA Óscar | 62 |
| 4 | MANCEBO Francisco | 64 |
| 5 | WILCHES Juan Pablo | 56 |
| 14 | PEÑA Victor Hugo | 65 |
| 15 | PARRA Iván Ramiro | 62 |
| 24 | GUTIÉRREZ José Enrique | 78 |
| 25 | PEDRAZA Wálter Fernando | 58 |
| 28 | CHALAPUD Robinson | 63 |
| 37 | GONZÁLEZ Freddy Excelino | 55 |
| 38 | LAVERDE Luis Felipe | 63 |
| 48 | ZAPATA Javier de Jesús | 62 |
| 54 | RUBIANO Miguel Angel | 58 |
| 68 | CHADWICK Glen Alan | 75 |