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 * weight + 16
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FORKE Sebastian | 78 |
| 2 | BOMMEL Henning | 75 |
| 3 | SELIG Rüdiger | 80 |
| 7 | ARNDT Nikias | 77.5 |
| 11 | SKUJIŅŠ Toms | 70 |
| 13 | BĒCIS Armands | 82 |
| 15 | ROMANIK Radosław | 62 |
| 20 | BENČÍK Petr | 73 |
| 28 | HALLER Marco | 72 |
| 29 | LISOWICZ Tomasz | 85 |