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 - 16
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SKIBBY Jesper | 70 |
| 5 | EKIMOV Viatcheslav | 69 |
| 6 | VIRENQUE Richard | 65 |
| 7 | UGRUMOV Piotr | 58 |
| 8 | OLANO Abraham | 70 |
| 9 | JALABERT Laurent | 66 |
| 12 | DIETZ Bert | 69 |
| 14 | MERCKX Axel | 77 |
| 15 | BRUYNEEL Johan | 71 |