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 = 0.6 * weight - 26
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARTÍNEZ Daniel Felipe | 63 |
| 2 | LÓPEZ Miguel Ángel | 59 |
| 3 | BERNAL Egan | 60 |
| 4 | CONTRERAS Rodrigo | 68 |
| 5 | VARGAS Walter | 69 |
| 7 | RAMIREZ Brayan Steven | 69 |
| 10 | RODRÍGUEZ Jhon Anderson | 62 |
| 11 | OSORIO Juan Felipe | 65 |
| 20 | LAVERDE Luis Felipe | 63 |
| 21 | RESTREPO Jhonatan | 73 |
| 26 | SERPA José Rodolfo | 64 |