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 = 2.8 * weight - 128
This means that on average for every extra kilogram weight a rider loses 2.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | SERPA José Rodolfo | 64 |
| 5 | RIVERA Kevin | 56 |
| 7 | SOSA Iván Ramiro | 52 |
| 18 | PARRA Heiner Rodrigo | 51 |
| 22 | MONSALVE Yonathan | 62 |
| 28 | AULAR Orluis | 65 |
| 48 | UBETO Miguel Armando | 60 |
| 49 | RUIZ Diego Fernando | 58 |
| 58 | QUINTERO Leonel | 67 |
| 82 | CHIRICO Luca | 58 |
| 83 | BENFATTO Marco | 71 |
| 84 | MALUCELLI Matteo | 68 |