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 = -0.1 * weight + 30
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | STASH Mamyr | 77 |
| 7 | ROHDE Leon | 75 |
| 8 | ŠIŠKEVIČIUS Paulius | 70 |
| 10 | RAMANAU Raman | 68 |
| 14 | BANASZEK Adrian | 79 |
| 15 | SHEMETAU Mikhail | 79 |
| 18 | KUSTADINCHEV Roman | 66 |
| 25 | KOISHI Yuma | 62 |
| 31 | BEYER Maximilian | 75 |
| 37 | NEILANDS Krists | 69 |
| 39 | AKHRAMENKA Yauheni | 78 |
| 41 | TSISHKOU Raman | 72 |
| 43 | KARALIOK Yauheni | 75 |