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 = -0.6 * weight + 72
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | WEYLANDT Wouter | 72 |
| 10 | BARBÉ Koen | 75 |
| 13 | MCCARTY Jonathan Patrick | 68 |
| 15 | KEISSE Iljo | 72 |
| 16 | VEUCHELEN Frederik | 75 |
| 19 | HOVELIJNCK Kurt | 75 |
| 20 | GILING Bas | 72 |
| 34 | TEN DAM Laurens | 67 |
| 35 | DEKKER Thomas | 69 |
| 36 | VASTARANTA Jukka | 63 |
| 39 | NEIRYNCK Kevin | 71 |
| 44 | VANDENBERGH Stijn | 86 |
| 50 | LISABETH Kenny | 75 |
| 52 | AERNOUTS Bart | 60 |
| 57 | MERTENS Pieter | 67 |