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 = 0.6 * weight - 23
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SÜTTERLIN Jasha | 78 |
| 4 | ARNDT Nikias | 77.5 |
| 7 | SCHIEWER Franz | 70 |
| 10 | ZEPUNTKE Ruben | 76 |
| 13 | KOCH Michel | 69 |
| 18 | REINHARDT Theo | 72 |
| 22 | BUCHMANN Emanuel | 59 |
| 29 | KOEP Thomas | 78 |
| 38 | WOLF Justin | 85 |
| 40 | WALSCHEID Max | 90 |
| 73 | FIEK Arnold | 74 |