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 + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HALLER Marco | 72 |
| 2 | FLAKSIS Andžs | 79 |
| 3 | SKUJIŅŠ Toms | 70 |
| 5 | LISOWICZ Tomasz | 85 |
| 6 | WERDA Maximilian | 66 |
| 11 | CHARUCKI Paweł | 64 |
| 13 | KÖNIG Leopold | 62 |
| 14 | NAGY Robert | 52 |
| 17 | ARNDT Nikias | 77.5 |
| 20 | ROMANIK Radosław | 62 |
| 21 | FORKE Sebastian | 78 |
| 22 | KRIZEK Matthias | 74 |