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 = -22.9 * weight + 1773
This means that on average for every extra kilogram weight a rider loses -22.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | RÄIM Mihkel | 69 |
| 3 | ROSENLUND Stian | 72 |
| 4 | NISU Oskar | 84 |
| 6 | LARSEN Mathias Alexander Erik | 72 |
| 7 | KMIELIAUSKAS Rokas | 68 |
| 8 | STAMPE Daniel | 79 |
| 10 | LAUK Karl Patrick | 69 |
| 12 | BOGDANOVIČS Māris | 68 |
| 13 | LOND Daniel | 65 |
| 17 | LARSSON David | 73 |
| 18 | MATUZEVIČIUS Žygimantas | 69 |
| 19 | TAMM Lauri | 73 |
| 991 | SKJERPING Kristoffer | 71 |
| 991 | JÜRISAAR Tauri | 62 |