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 + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | NIEMIEC Przemysław | 62 |
| 3 | BALIANI Fortunato | 66 |
| 5 | BONILLA José Adrián | 73 |
| 6 | LAVERDE Luis Felipe | 63 |
| 7 | MARZOLI Ruggero | 61 |
| 8 | CASAGRANDE Francesco | 64 |
| 9 | ROGINA Radoslav | 70 |
| 10 | KIŠERLOVSKI Robert | 72 |
| 11 | PEREZ CUAPIO Julio Alberto | 58 |
| 12 | MAZZANTI Luca | 64 |
| 13 | HERNÁNDEZ Aitor | 64 |
| 15 | SIMONI Gilberto | 59 |
| 17 | LODA Nicola | 73 |
| 18 | GONZÁLEZ Freddy Excelino | 55 |