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 = 19.8 * weight - 642
This means that on average for every extra kilogram weight a rider loses 19.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAURI Melchor | 68 |
| 3 | BREUKINK Erik | 70 |
| 990 | MUSEEUW Johan | 71 |
| 990 | JALABERT Laurent | 66 |
| 990 | KELLY Sean | 77 |
| 990 | ABDUZHAPAROV Djamolidine | 72 |
| 990 | BRUYNEEL Johan | 71 |
| 990 | ROMINGER Tony | 65 |