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 = -1.7 * weight + 152
This means that on average for every extra kilogram weight a rider loses -1.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEMEYER Marc | 85 |
| 8 | SCHUITEN Roy | 83 |
| 10 | ROSIERS Roger | 78 |
| 12 | SWERTS Roger | 75 |
| 17 | PIJNEN René | 72 |
| 25 | ALLAN Donald | 73 |
| 35 | DEN HERTOG Fedor | 76 |
| 40 | JOLLY Brian | 76 |