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 - 2
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PELLIZOTTI Franco | 64 |
| 2 | MAZZANTI Luca | 64 |
| 3 | KIRCHEN Kim | 68 |
| 4 | AGGIANO Elio | 63 |
| 5 | CUNEGO Damiano | 58 |
| 6 | CASAGRANDE Francesco | 64 |
| 7 | KUSCHYNSKI Aleksandr | 65 |
| 8 | SERPELLINI Marco | 75 |
| 9 | FACCI Mauro | 68 |
| 10 | POZZATO Filippo | 73 |
| 11 | PIETROPOLLI Daniele | 61 |
| 13 | TIRALONGO Paolo | 63 |
| 14 | HAUSSLER Heinrich | 74 |
| 16 | SINKEWITZ Patrik | 63 |
| 17 | FERRARA Raffaele | 60 |
| 18 | IVANOV Ruslan | 71 |