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 = -0.1 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HAYMAN Mathew | 78 |
| 2 | ENGELS Addy | 64 |
| 3 | VENEBERG Thorwald | 75 |
| 4 | SCHEP Peter | 80 |
| 5 | SCHMITZ Bram | 77 |
| 7 | WIELINGA Remmert | 68 |
| 11 | LÖWIK Gerben | 72 |
| 23 | TEN DAM Laurens | 67 |
| 30 | TANKINK Bram | 71 |
| 32 | MUTSAARS Ronald | 67 |
| 39 | TJALLINGII Maarten | 81 |