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 = -0.5 * weight + 45
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | ROGINA Radoslav | 70 |
2 | MAHORIČ Mitja | 68 |
4 | MIZBANI Ghader | 67 |
5 | RIŠKA Martin | 73 |
11 | DI PAOLO Francesco | 65 |
14 | BONČA Valter | 63 |
15 | PETROV Daniel Bogomilov | 66 |
17 | CHADWICK Glen Alan | 75 |
19 | JOVANOVIĆ Nebojša | 60 |