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 = 1.6 * weight - 56
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | DELGADO Pedro | 64 |
| 30 | MUJIKA Jokin | 73 |
| 37 | PLANCKAERT Eddy | 69 |
| 45 | VAN IMPE Lucien | 59 |
| 55 | VILAMAJO Jaime | 70 |
| 57 | BREUKINK Erik | 70 |
| 62 | HOSTE Frank | 76 |
| 63 | FERNÁNDEZ Juan | 68 |
| 70 | DE ROOIJ Theo | 69 |
| 72 | BALBOA Antonio | 66 |
| 78 | NAVARRO Francisco | 77 |