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 + 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROTA Lorenzo | 62 |
| 2 | PARET-PEINTRE Aurélien | 64 |
| 3 | POWER Robert | 68 |
| 4 | ROCHAS Rémy | 51 |
| 5 | FEDELI Alessandro | 65 |
| 7 | RIABUSHENKO Alexandr | 61 |
| 8 | GESBERT Élie | 63 |
| 9 | BONNAMOUR Franck | 70 |
| 10 | FORTUNATO Lorenzo | 57 |
| 11 | RIVIÈRE David | 63 |
| 16 | RUČIGAJ Žiga | 68 |
| 17 | FABBRO Matteo | 52 |
| 19 | BUDYAK Anatoliy | 53 |
| 21 | LIZDE Seid | 70 |
| 22 | CAVANAGH Ryan | 72 |