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 = -1.3 * weight + 111
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHADWICK Glen Alan | 75 |
| 2 | MANCEBO Francisco | 64 |
| 5 | RUBIANO Miguel Angel | 58 |
| 6 | GUTIÉRREZ José Enrique | 78 |
| 7 | SEVILLA Óscar | 62 |
| 9 | LAVERDE Luis Felipe | 63 |
| 10 | PEDRAZA Wálter Fernando | 58 |
| 23 | CHALAPUD Robinson | 63 |
| 30 | GIL MARTINEZ Tomas Aurelio | 60 |
| 32 | GONZÁLEZ Freddy Excelino | 55 |
| 42 | PARRA Iván Ramiro | 62 |
| 67 | WILCHES Juan Pablo | 56 |
| 78 | ZAPATA Javier de Jesús | 62 |
| 80 | PEÑA Victor Hugo | 65 |