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 + 25
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JOURNIAUX Axel | 63 |
| 2 | NORSGAARD Mathias | 88 |
| 3 | ABRAHAMSEN Jonas | 78 |
| 4 | HENNESSY Jacob | 80 |
| 5 | KATRAŠNIK Gašper | 69 |
| 8 | GUGLIELMI Simon | 66 |
| 9 | SCARONI Christian | 63 |
| 10 | ZIMMERMANN Georg | 70 |
| 11 | OLIVEIRA Ivo | 68 |
| 12 | PEDERSEN Casper | 71 |
| 14 | HONORÉ Mikkel Frølich | 68 |
| 15 | ROCCHETTI Filippo | 72 |