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 + 28
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 18 | KREDER Wesley | 71 |
| 20 | KOEP Thomas | 78 |
| 21 | SAYAR Mustafa | 64 |
| 40 | ATZORI Umberto | 72 |
| 46 | KAL Miraç | 72 |
| 51 | AKDILEK Ahmet | 68 |
| 54 | HESSELBARTH David | 65 |
| 57 | HRINKOW Dominik | 61 |
| 61 | KONING Peter | 77 |
| 63 | HANSEN Jesper | 60 |
| 65 | ZANGERLE Joel | 63 |
| 81 | OELERICH Jan | 70 |
| 89 | SCHIEWER Franz | 70 |
| 103 | GRETSCH Patrick | 69 |
| 111 | ARIESEN Johim | 70 |
| 120 | GMELICH MEIJLING Jarno | 77 |