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 = -0.7 * weight + 52
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VERHEYEN Geert | 68 |
| 2 | SIVAKOV Alexei | 72 |
| 3 | AERTS Mario | 68 |
| 4 | BOUVARD Gilles | 70 |
| 5 | JULICH Bobby | 68 |
| 6 | BESSY Frédéric | 65 |
| 7 | ROBIN Jean-Cyril | 63 |
| 8 | HINAULT Sébastien | 63 |
| 9 | VAUGHTERS Jonathan | 64 |