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 = 3.8 * weight - 191
This means that on average for every extra kilogram weight a rider loses 3.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | MONSALVE Yonathan | 62 |
| 23 | GIMENEZ Carlos | 53 |
| 26 | AULAR Orluis | 65 |
| 30 | GODOY Yonder | 64 |
| 32 | CHACÓN José Isidro | 63 |
| 41 | RODRÍGUEZ Jackson | 58 |
| 50 | GIL MARTINEZ Tomas Aurelio | 60 |
| 52 | ZAMPARELLA Marco | 67 |
| 56 | BUSATO Matteo | 67 |
| 57 | UBETO Miguel Armando | 60 |
| 64 | MARTINS Uri | 70 |
| 71 | CONTI Samuele | 68 |
| 92 | SÁNCHEZ Augusto | 72 |
| 98 | BANI Eugenio | 72 |
| 103 | LINAREZ Leangel Rubén | 74 |