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 = -0.4 * weight + 38
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MATTHEWS Michael | 72 |
| 2 | KWIATKOWSKI Michał | 68 |
| 3 | ZAKARIN Ilnur | 67 |
| 4 | REZA Kévin | 71 |
| 5 | GALLOPIN Tony | 69 |
| 6 | SIMON Julien | 65 |
| 7 | FELLINE Fabio | 68 |
| 8 | AGNOLI Valerio | 72 |
| 9 | VAKOČ Petr | 68 |
| 10 | MORENO Daniel | 59 |
| 11 | ACEVEDO Janier | 63 |
| 12 | BILBAO Pello | 60 |
| 13 | VUILLERMOZ Alexis | 60 |
| 14 | IZAGIRRE Ion | 60 |
| 15 | SÁNCHEZ Luis León | 73 |