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 + 51
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 10 | GLEMSER Peter | 82 |
| 12 | SCHUTZ Edy | 72 |
| 12 | BALMAMION Franco | 67 |
| 12 | DÍAZ Mariano | 63 |
| 12 | PFENNINGER Louis | 70 |
| 12 | RITTER Ole | 74 |
| 12 | FORÉ Noël | 73 |
| 12 | HARRISON Derek | 73 |
| 12 | SWERTS Roger | 75 |
| 12 | MERCKX Eddy | 74 |
| 66 | NIJDAM Henk | 75 |
| 82 | MARINE Jorge | 69 |