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 + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GALIMZYANOV Denis | 75 |
| 2 | MIRONOV Alexander | 68 |
| 3 | KRIVTSOV Dmytro | 72 |
| 4 | KRUOPIS Aidis | 80 |
| 8 | BAGDONAS Gediminas | 78 |
| 9 | JUODVALKIS Egidijus | 73 |
| 10 | SOLOMENNIKOV Andrei | 72 |
| 11 | FIRSANOV Sergey | 58 |