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 = -1.6 * weight + 148
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MERTENS Pieter | 67 |
| 5 | HELMINEN Matti | 74 |
| 6 | LISABETH Kenny | 75 |
| 8 | WEISSINGER René | 74 |
| 19 | VAN LEIJEN Joost | 73 |
| 20 | DE MAAR Marc | 70 |
| 21 | TSCHOPP Johann | 62 |
| 22 | GLASNER Björn | 72 |
| 34 | GOESINNEN Floris | 75 |
| 37 | LOOSLI David | 71 |
| 41 | LUPAȘ Pavel-Emil | 74 |
| 71 | SCHULZE André | 70 |
| 76 | HOFFMANN Erik | 65 |
| 83 | NEIRYNCK Kevin | 71 |