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 = -0.2 * weight + 26
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STĘPNIAK Grzegorz | 75 |
| 2 | MAIKIN Roman | 68 |
| 3 | RÄIM Mihkel | 69 |
| 5 | ACKERMANN Pascal | 78 |
| 6 | PAPOK Siarhei | 76 |
| 7 | VERSCHOOR Martijn | 74.5 |
| 8 | BĒCIS Armands | 82 |
| 9 | LAUK Karl Patrick | 69 |
| 10 | GRADEK Kamil | 83 |
| 13 | BOGDANOVIČS Māris | 68 |
| 14 | FRANCZAK Paweł | 63 |
| 15 | NIKOLAEV Sergey | 66 |
| 18 | LIEPIŅŠ Emīls | 67 |
| 19 | PLANET Charles | 71 |
| 20 | BAZHKOU Stanislau | 65 |
| 21 | BANASZEK Adrian | 79 |
| 22 | LAAS Martin | 76 |