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 = -0.4 * weight + 48
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROESEMS Bert | 81 |
| 2 | RICH Michael | 82 |
| 5 | KLIER Andreas | 72 |
| 9 | SCHEP Peter | 80 |
| 10 | HASELBACHER René | 69 |
| 12 | PIĄTEK Zbigniew | 71 |
| 13 | BRUYLANDTS Dave | 63 |
| 17 | BALČIŪNAS Linas | 90 |
| 20 | FEYS Wim | 80 |
| 22 | YAKOVLEV Serguei | 70 |
| 23 | LUDEWIG Jörg | 75 |
| 26 | ORDOWSKI Volker | 59 |
| 28 | FOFONOV Dmitriy | 65 |
| 29 | EECKHOUT Niko | 73 |