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 + 30
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | O'CONNOR Ben | 67 |
| 3 | GROVES Kaden | 76 |
| 4 | AYUSO Juan | 65 |
| 5 | BAUHAUS Phil | 75 |
| 6 | OKAMIKA Ander | 70 |
| 7 | BOU Joan | 62 |
| 8 | QUINTANA Nairo | 58 |
| 9 | PACHER Quentin | 62 |
| 10 | SERRY Pieter | 66 |
| 11 | HOFSTETTER Hugo | 66 |
| 12 | PETILLI Simone | 65 |
| 13 | PEDERSEN Casper | 71 |
| 14 | MORENO Adrià | 59 |
| 15 | DELACROIX Théo | 70 |
| 16 | BIZKARRA Mikel | 53 |