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 = 0.4 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NEUENS François | 76 |
| 2 | DIDIER Christophe | 71 |
| 3 | CLEMENS Mathias | 75 |
| 4 | CLEMENS Pierre | 69 |
| 5 | BAUTZ Erich | 72 |
| 7 | SCHELLER Fritz | 72 |
| 9 | WECKERLING Otto | 64 |
| 11 | BULLA Max | 75 |
| 12 | MAJERUS Jean | 77 |
| 13 | OBERBECK Willi | 80 |
| 14 | ARENTS Josef | 77 |
| 15 | HAUSWALD Herbert | 75 |