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 = 12.8 * weight - 252
This means that on average for every extra kilogram weight a rider loses 12.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | MERCKX Eddy | 74 |
| 5 | DÍAZ Mariano | 63 |
| 7 | SWERTS Roger | 75 |
| 990 | SCHUTZ Edy | 72 |
| 990 | BALMAMION Franco | 67 |
| 990 | PFENNINGER Louis | 70 |
| 990 | HARRISON Derek | 73 |
| 990 | MARINE Jorge | 69 |
| 990 | GLEMSER Peter | 82 |