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 + 10
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PELLAUD Simon | 70 |
| 2 | PATERSKI Maciej | 73 |
| 3 | LIENHARD Fabian | 73 |
| 5 | JOHANSEN Julius | 77 |
| 6 | RODENBERG Frederik | 73 |
| 7 | BÁRTA Jan | 75 |
| 8 | SHAW James | 63 |
| 9 | DE KLEIJN Arvid | 68 |
| 10 | VAN DALEN Jason | 70 |
| 11 | KRUL Stef | 68 |
| 12 | THWAITES Scott | 71 |
| 13 | GOOSSENS Kobe | 64 |
| 14 | MAITRE Florian | 71 |
| 17 | DEBEAUMARCHÉ Nicolas | 75 |
| 18 | FOLSACH Casper | 81 |
| 19 | HOLMES Matthew | 67 |