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 - 31
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AGGIANO Elio | 63 |
| 2 | BALIANI Fortunato | 66 |
| 3 | HAMBURGER Bo | 58 |
| 4 | POPOVYCH Yaroslav | 64 |
| 5 | MARZOLI Ruggero | 61 |
| 6 | HRUŠKA Jan | 62 |
| 7 | SØRENSEN Nicki | 71 |
| 9 | PICCOLI Mariano | 64 |
| 10 | PETROV Evgeni | 70 |
| 11 | LELLI Massimiliano | 69 |
| 12 | BRAMATI Davide | 72 |