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 + 46
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ÄRM Rait | 75 |
| 2 | PAJUR Markus | 72 |
| 4 | NISU Oskar | 84 |
| 6 | DIRNBAUER Josef | 67 |
| 7 | TAMM Lauri | 73 |
| 8 | REGUIGUI Youcef | 69 |
| 9 | LAŠINIS Venantas | 69 |
| 11 | KÄLLBERG Axel | 69 |
| 14 | HAMMERSCHMID Marvin | 62 |
| 18 | LAUK Karl Patrick | 69 |