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 - 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARTIN Tony | 75 |
| 2 | KREUZIGER Roman | 65 |
| 3 | MASCIARELLI Francesco | 55 |
| 4 | DI GRÉGORIO Rémy | 67 |
| 6 | BOOM Lars | 75 |
| 7 | AGNOLI Valerio | 72 |
| 8 | JACOBS Pieter | 68 |
| 9 | VELITS Martin | 70 |
| 10 | HERMANS Ben | 72 |