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 + 19
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAAS Martin | 76 |
| 3 | NAKKEN Tobias Risan | 72 |
| 5 | ROSENLUND Stian | 72 |
| 6 | LAŠINIS Venantas | 69 |
| 9 | VAHTRA Norman | 85 |
| 10 | MALMBERG Matias | 68 |
| 11 | FRANCISCO Jude Gabriel | 62 |
| 13 | BOGDANOVIČS Māris | 68 |
| 19 | TVERGAARD Mikkel | 72 |
| 20 | HERTZ Benjamin | 68 |
| 21 | TAMM Lauri | 73 |
| 22 | POMORSKI Michał | 76 |