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 = -2.7 * weight + 242
This means that on average for every extra kilogram weight a rider loses -2.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KLUGE Roger | 83 |
| 14 | VASYLYUK Andriy | 65 |
| 16 | VAN DEN BRAND Twan | 71 |
| 27 | GASTAUER Ben | 73 |
| 32 | HESSELBARTH David | 65 |
| 46 | SELIG Rüdiger | 80 |
| 52 | LUDESCHER Philipp | 72 |
| 54 | HRINKOW Dominik | 61 |
| 82 | PÖLL Stefan | 60 |
| 125 | KREDER Raymond | 70 |
| 132 | HANSEN Jesper | 60 |