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 + 2
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | KOCH Jonas | 75 |
| 5 | ROGINA Radoslav | 70 |
| 6 | HONKISZ Adrian | 61 |
| 7 | OVECHKIN Artem | 61 |
| 9 | OWSIAN Łukasz | 66 |
| 10 | LAGKUTI Sergiy | 68 |
| 12 | ARANGO Juan Esteban | 62 |
| 13 | KOSTYUK Denys | 66 |
| 14 | KRIVTSOV Dmytro | 72 |
| 16 | CIEŚLIK Paweł | 65 |
| 18 | ZIELIńSKI Kamil | 61 |
| 19 | VERHELST Louis | 71 |
| 20 | KUREK Adrian | 80 |
| 22 | FRANCZAK Paweł | 63 |
| 23 | VALENCIA Juan Pablo | 71 |