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 = -0.7 * weight + 59
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | PALINI Andrea | 67 |
2 | TIPPER Jacob | 78 |
3 | HASNAOUI Maher | 80 |
4 | KERS Koos Jeroen | 71 |
7 | WACKER Eugen | 65 |
8 | ZAKHAROV Artyom | 70 |
13 | GUTIERREZ José Manuel | 63 |
15 | MANSOURI Abderrahmane | 66 |
16 | ARIYAN Behnam | 70 |
21 | JOVANOVIĆ Nebojša | 60 |