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 = 3.4 * weight - 174
This means that on average for every extra kilogram weight a rider loses 3.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RODRÍGUEZ Jackson | 58 |
| 12 | BUSATO Matteo | 67 |
| 13 | MONSALVE Yonathan | 62 |
| 20 | CHACÓN José Isidro | 63 |
| 25 | GIMENEZ Carlos | 53 |
| 26 | AULAR Orluis | 65 |
| 41 | UBETO Miguel Armando | 60 |
| 45 | GIL MARTINEZ Tomas Aurelio | 60 |
| 67 | MARTINS Uri | 70 |
| 75 | ZAMPARELLA Marco | 67 |
| 77 | GODOY Yonder | 64 |
| 80 | BANI Eugenio | 72 |
| 83 | SÁNCHEZ Augusto | 72 |