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 = -0.4 * weight + 32
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VERVLOESEM Xandres | 65 |
| 3 | BARRÉ Louis | 68 |
| 4 | PATTYN Steven | 63 |
| 8 | RICHARD Maxime | 55 |
| 9 | VAN DER BEKEN Aaron | 66 |
| 10 | FONTAINE Emerson | 66 |
| 12 | LECLAINCHE Gwen | 65 |
| 15 | CAPRON Rémi | 59 |