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 = 1.5 * weight - 70
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
2 | GUAMÁ Byron | 61 |
3 | JURADO Christofer Robín | 68 |
4 | CHUMIL Sergio Geovani | 62 |
5 | SEVILLA Óscar | 62 |
9 | LÓPEZ Miguel Ángel | 59 |
9 | AGUIRRE Hernán Ricardo | 55 |
21 | ALBA Juan Diego | 59 |
22 | SUAZA Bernardo | 66 |
32 | REYES Aldemar | 55 |
38 | BRENES Sebastian | 66 |
44 | RODAS Manuel | 68 |
53 | RIVERA Kevin | 56 |
59 | BOHÓRQUEZ Hernando | 68 |
65 | LACHANCE Jean-Michel | 72 |