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 = -0.7 * weight + 86
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BANI Eugenio | 72 |
| 5 | UBETO Miguel Armando | 60 |
| 6 | AULAR Orluis | 65 |
| 7 | ZAMPARELLA Marco | 67 |
| 8 | BUSATO Matteo | 67 |
| 16 | MONSALVE Yonathan | 62 |
| 18 | LINAREZ Leangel Rubén | 74 |
| 33 | CONTI Samuele | 68 |
| 37 | GIMENEZ Carlos | 53 |
| 51 | SÁNCHEZ Augusto | 72 |
| 52 | RODRÍGUEZ Jackson | 58 |
| 61 | DRAPERI Matteo | 70 |
| 70 | GODOY Yonder | 64 |
| 78 | GIL MARTINEZ Tomas Aurelio | 60 |
| 88 | CELANO Danilo | 65 |
| 94 | MARTINS Uri | 70 |
| 103 | CHACÓN José Isidro | 63 |