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 = -0.1 * weight + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | GIULIANO Dario | 63 |
| 7 | REMIJN Senna | 68 |
| 11 | SEIXAS Paul | 61 |
| 12 | VAN DEN BROEK Axel | 69 |
| 14 | WIDAR Jarno | 54 |
| 15 | BUSH Jacob | 58 |
| 16 | AUGUST Andrew | 57 |
| 20 | FOFONOV Artem | 70 |