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 = -1.7 * weight + 133
This means that on average for every extra kilogram weight a rider loses -1.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AULAR Orluis | 65 |
| 4 | MONSALVE Yonathan | 62 |
| 5 | QUINTERO Leonel | 67 |
| 9 | GODOY Yonder | 64 |
| 10 | BENFATTO Marco | 71 |
| 22 | ALZATE Carlos | 74 |
| 26 | FLÓREZ Miguel Eduardo | 57 |
| 29 | VIEL Mattia | 72 |
| 36 | SERPA José Rodolfo | 64 |
| 38 | GÁLVIZ Carlos Johan | 65 |
| 39 | MUÑOZ Daniel | 57 |
| 42 | CRUZ Adderlyn Félix | 59 |
| 49 | RIVERA Kevin | 56 |
| 50 | RODRÍGUEZ Jackson | 58 |
| 51 | MERCHAN Didier | 57 |