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 = 0.2 * weight - 2
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DE MAAR Marc | 70 |
| 4 | MEYER Cameron | 70 |
| 6 | PRADES Benjamín | 56 |
| 9 | HINDLEY Jai | 60 |
| 10 | EARLE Nathan | 70 |
| 11 | NAZARET Magno | 65 |
| 12 | PANASSENKO Nikita | 69 |
| 13 | PRUUS Peeter | 71 |
| 15 | SPREAFICO Matteo | 69 |
| 17 | HUCKER Robbie | 68 |