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 + 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | SÜTTERLIN Jasha | 78 |
| 9 | SCHIEWER Franz | 70 |
| 10 | WERDA Maximilian | 66 |
| 16 | BUCHMANN Emanuel | 59 |
| 19 | ARNDT Nikias | 77.5 |
| 22 | SELIG Rüdiger | 80 |
| 26 | KOEP Thomas | 78 |
| 28 | WOLF Justin | 85 |
| 31 | REINHARDT Theo | 72 |
| 51 | SCHNAIDT Fabian | 70 |