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 - 27
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LÜHRS Luis-Joe | 66 |
| 4 | HEINEMANN Leon | 70 |
| 6 | APPELBAUM Henri Johannes | 64 |
| 8 | MÜLLER Tobias | 64 |
| 10 | GROß Matteo | 67 |
| 12 | BRENNER Mauro | 57 |
| 16 | LATOCHA Adrian | 56 |
| 20 | BANGERT Nick | 66 |
| 23 | GEBHARDT Philipp | 75 |
| 31 | JOCHUM Ben Felix | 76 |