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 = -0.5 * weight + 42
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MIHKELS Madis | 75 |
| 2 | KUBIŠ Lukáš | 70 |
| 3 | ÄRM Rait | 75 |
| 5 | LENNARTSSON Hugo | 69 |
| 6 | KAĻVERŠS Matīss | 78 |
| 9 | STÅLBERG Albin | 78 |
| 14 | PEDERSEN Eric | 61 |
| 16 | MATUZEVIČIUS Žygimantas | 69 |