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 + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STEELS Tom | 73 |
| 3 | VAN DIJK Stefan | 74 |
| 4 | DUMOULIN Samuel | 57 |
| 5 | FLAMMANG Tom | 80 |
| 6 | VAN HEESWIJK Max | 73 |
| 8 | LODA Nicola | 73 |
| 11 | CAPPELLE Andy | 71 |
| 12 | GILMORE Matthew | 67 |
| 13 | VANDENBROUCKE Frank | 67 |
| 14 | VALJAVEC Tadej | 59 |
| 15 | EECKHOUT Niko | 73 |