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 = 0.2 * weight - 4
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TALIANI Alessio | 60 |
| 3 | FORMOLO Davide | 62 |
| 4 | BALYKIN Ivan | 68 |
| 5 | NECHITA Andrei | 71 |
| 7 | ZILIOLI Gianfranco | 61 |
| 8 | VILLELLA Davide | 66 |
| 9 | MARENGO Umberto | 69 |
| 10 | GAROSIO Andrea | 58 |
| 12 | FILOSI Iuri | 70 |
| 14 | TONELLI Alessandro | 64 |
| 24 | NIKITIN Matvey | 61 |
| 25 | HALILAJ Redi | 70 |