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 = 0.1 * weight + 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SERPA José Rodolfo | 64 |
| 2 | NIEMIEC Przemysław | 62 |
| 3 | RICCÒ Riccardo | 57 |
| 4 | HUZARSKI Bartosz | 69 |
| 5 | BALIANI Fortunato | 66 |
| 6 | POZZOVIVO Domenico | 53 |
| 7 | SANTAROMITA Ivan | 58 |
| 8 | PONZI Simone | 63 |
| 9 | ASCANI Luca | 75 |
| 10 | PARDILLA Sergio | 65 |
| 11 | SELLA Emanuele | 54 |
| 13 | CARUSO Damiano | 67 |
| 14 | RODRÍGUEZ Jackson | 58 |
| 17 | KÖNIG Leopold | 62 |
| 18 | ANZÀ Santo | 58 |
| 19 | PIDGORNYY Ruslan | 72 |