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 = 1.2 * weight - 61
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
2 | PETROV Danail Andonov | 63 |
5 | KUSZTOR Péter | 61 |
8 | GERGANOV Evgeni | 60 |
11 | PAĎOUR František | 59 |
13 | ROGINA Radoslav | 70 |
17 | MAHORIČ Mitja | 68 |
24 | CHAIGNEAU Robin | 80 |
26 | JANIACZYK Błażej | 68 |
31 | HUZARSKI Bartosz | 69 |
36 | WITECKI Mariusz | 70 |