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 = -36.7 * weight + 2767
This means that on average for every extra kilogram weight a rider loses -36.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PHILIPSEN Jasper | 75 |
| 2 | MERLIER Tim | 76 |
| 3 | KOOIJ Olav | 72 |
| 4 | DE LIE Arnaud | 78 |
| 5 | GROENEWEGEN Dylan | 70 |
| 6 | TRENTIN Matteo | 74 |
| 7 | PITHIE Laurence | 74 |
| 8 | MARIT Arne | 72 |
| 9 | VIVIANI Elia | 67 |
| 10 | RUSSO Clément | 74 |
| 991 | LAUK Karl Patrick | 69 |