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 = 3.6 * weight - 182
This means that on average for every extra kilogram weight a rider loses 3.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | SOSA Iván Ramiro | 52 |
| 4 | RIVERA Kevin | 56 |
| 8 | PARRA Heiner Rodrigo | 51 |
| 14 | SERPA José Rodolfo | 64 |
| 16 | AULAR Orluis | 65 |
| 24 | RUIZ Diego Fernando | 58 |
| 29 | CHIRICO Luca | 58 |
| 55 | QUINTERO Leonel | 67 |
| 57 | MONSALVE Yonathan | 62 |
| 66 | UBETO Miguel Armando | 60 |
| 82 | MALUCELLI Matteo | 68 |
| 85 | BENFATTO Marco | 71 |