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 * weight + 6
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GROENEWEGEN Dylan | 70 |
| 2 | CIMOLAI Davide | 70 |
| 3 | TRENTIN Matteo | 74 |
| 4 | VAN DER POEL Mathieu | 75 |
| 5 | SWIFT Ben | 69 |
| 6 | VALLÉE Boris | 79 |
| 8 | DE BUYST Jasper | 72 |
| 9 | BOSTOCK Matthew | 69 |
| 10 | MODOLO Sacha | 67 |
| 11 | WALLS Matthew | 72 |
| 12 | NOPPE Christophe | 73 |
| 13 | EEKHOFF Nils | 75 |
| 14 | VERNON Ethan | 74 |
| 15 | VLIEGEN Loïc | 70 |