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 + 43
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LOOSLI David | 71 |
| 2 | MERTENS Pieter | 67 |
| 5 | GLASNER Björn | 72 |
| 7 | TSCHOPP Johann | 62 |
| 9 | DE MAAR Marc | 70 |
| 10 | WEISSINGER René | 74 |
| 20 | GOESINNEN Floris | 75 |
| 21 | LUPAȘ Pavel-Emil | 74 |
| 29 | HELMINEN Matti | 74 |
| 33 | LISABETH Kenny | 75 |
| 36 | VAN LEIJEN Joost | 73 |
| 56 | NEIRYNCK Kevin | 71 |
| 66 | HOFFMANN Erik | 65 |
| 68 | SCHULZE André | 70 |