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 = 4.2 * weight - 211
This means that on average for every extra kilogram weight a rider loses 4.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | MONSALVE Yonathan | 62 |
| 19 | RODRÍGUEZ Jackson | 58 |
| 28 | GIMENEZ Carlos | 53 |
| 29 | CHACÓN José Isidro | 63 |
| 33 | AULAR Orluis | 65 |
| 41 | GODOY Yonder | 64 |
| 55 | MARTINS Uri | 70 |
| 56 | GIL MARTINEZ Tomas Aurelio | 60 |
| 65 | UBETO Miguel Armando | 60 |
| 87 | BUSATO Matteo | 67 |
| 89 | CONTI Samuele | 68 |
| 91 | DRAPERI Matteo | 70 |
| 93 | ZAMPARELLA Marco | 67 |
| 95 | SÁNCHEZ Augusto | 72 |
| 96 | LINAREZ Leangel Rubén | 74 |
| 100 | BANI Eugenio | 72 |