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 = 0.6 * weight + 6
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 12 | GIL MARTINEZ Tomas Aurelio | 60 |
| 14 | GUAMÁ Byron | 61 |
| 19 | CONTI Samuele | 68 |
| 35 | AULAR Orluis | 65 |
| 37 | RODRÍGUEZ Jackson | 58 |
| 40 | RAGONESSI José | 67 |
| 43 | GODOY Yonder | 64 |
| 44 | GIMENEZ Carlos | 53 |
| 58 | CHACÓN José Isidro | 63 |
| 75 | UBETO Miguel Armando | 60 |
| 77 | TEDESCHI Mirko | 69 |
| 92 | FONZI Giuseppe | 63 |