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 - 11
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DI LUCA Danilo | 61 |
| 2 | HAMBURGER Bo | 58 |
| 3 | SZMYD Sylwester | 60 |
| 4 | POPOVYCH Yaroslav | 64 |
| 5 | BORTOLAMI Gianluca | 73 |
| 6 | MARZOLI Ruggero | 61 |
| 7 | FERRARI Diego | 74 |
| 8 | BALIANI Fortunato | 66 |
| 9 | ZAMANA Cezary | 74 |
| 10 | BOSSONI Paolo | 62 |