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 = -0.3 * weight + 31
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BLIKRA Erlend | 75 |
| 3 | GIBSON Matthew | 76 |
| 5 | KOCH Christian | 68 |
| 6 | CORNELISSE Mitchell | 73.5 |
| 7 | ERMENAULT Corentin | 75 |
| 8 | BARTA Will | 61 |
| 9 | ROSTOVTSEV Sergey | 73 |
| 11 | KÄMNA Lennard | 65 |
| 12 | BOUHANNI Rayane | 70 |
| 13 | PARET-PEINTRE Aurélien | 64 |
| 15 | LEYSEN Senne | 78 |
| 18 | FEDELI Alessandro | 65 |
| 20 | FOSS Tobias | 74 |
| 21 | PADUN Mark | 67 |