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 + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BROCHARD Laurent | 68 |
| 2 | BOUVARD Gilles | 70 |
| 3 | RINERO Christophe | 65 |
| 4 | DUFAUX Laurent | 60 |
| 5 | VIRENQUE Richard | 65 |
| 6 | SALMON Benoît | 60 |
| 8 | SIVAKOV Alexei | 72 |
| 10 | AEBERSOLD Niki | 58 |