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 + 73
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAHORIČ Mitja | 68 |
| 2 | CHAIGNEAU Robin | 80 |
| 8 | PETROV Danail Andonov | 63 |
| 10 | JANIACZYK Błażej | 68 |
| 23 | KROTKÝ Rostislav | 73 |
| 28 | KUSZTOR Péter | 61 |
| 29 | RUTKIEWICZ Marek | 66 |
| 33 | HUZARSKI Bartosz | 69 |
| 36 | OOSTLANDER Sander | 78 |
| 38 | VANDBORG Brian Bach | 75 |
| 41 | PAĎOUR František | 59 |
| 47 | WITECKI Mariusz | 70 |
| 49 | ROGINA Radoslav | 70 |
| 56 | HANTZSCH Elmar | 62 |
| 59 | GERGANOV Evgeni | 60 |
| 87 | KASA Gabor | 72 |