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 = 1.2 * weight - 16
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZAMPARELLA Marco | 67 |
| 2 | RODRÍGUEZ Jackson | 58 |
| 10 | AULAR Orluis | 65 |
| 45 | MONSALVE Yonathan | 62 |
| 47 | UBETO Miguel Armando | 60 |
| 53 | LINAREZ Leangel Rubén | 74 |
| 69 | SÁNCHEZ Augusto | 72 |
| 74 | GIMENEZ Carlos | 53 |
| 76 | CHACÓN José Isidro | 63 |
| 78 | BUSATO Matteo | 67 |
| 80 | MARTINS Uri | 70 |
| 81 | GIL MARTINEZ Tomas Aurelio | 60 |
| 84 | CONTI Samuele | 68 |
| 87 | GODOY Yonder | 64 |
| 100 | BANI Eugenio | 72 |