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 + 5
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DI GRÉGORIO Rémy | 67 |
| 2 | MARCHAND Gianni | 61 |
| 3 | COSNEFROY Benoît | 65 |
| 4 | HIVERT Jonathan | 62 |
| 5 | MENTEN Milan | 68 |
| 6 | DIELEMAN Michiel | 78 |
| 7 | COMBAUD Romain | 63 |
| 8 | CALMEJANE Lilian | 70 |
| 9 | DEVRIENDT Tom | 70 |
| 10 | BAGÜES Aritz | 67 |
| 11 | KASPERKIEWICZ Przemysław | 71 |
| 12 | GABBURO Davide | 63 |
| 13 | DUPONT Hubert | 57 |
| 14 | VANBILSEN Kenneth | 73 |
| 15 | VAN GESTEL Dries | 74 |
| 16 | JAUREGUI Quentin | 60 |