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 = -0.4 * weight + 32
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PAJUR Markus | 72 |
| 2 | ÄRM Rait | 75 |
| 4 | NISU Oskar | 84 |
| 5 | LAŠINIS Venantas | 69 |
| 6 | REGUIGUI Youcef | 69 |
| 8 | DIRNBAUER Josef | 67 |
| 9 | KÄLLBERG Axel | 69 |
| 10 | HAMMERSCHMID Marvin | 62 |
| 14 | LAUK Karl Patrick | 69 |