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 = -1.6 * weight + 118
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MONSALVE Yonathan | 62 |
| 5 | AULAR Orluis | 65 |
| 7 | BANI Eugenio | 72 |
| 8 | BUSATO Matteo | 67 |
| 12 | ZAMPARELLA Marco | 67 |
| 21 | UBETO Miguel Armando | 60 |
| 24 | RODRÍGUEZ Jackson | 58 |
| 39 | GIMENEZ Carlos | 53 |
| 40 | GODOY Yonder | 64 |