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 + 47
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | BOGUSŁAWSKI Marceli | 77 |
2 | BÁRTA Tomáš | 79 |
4 | BANASZEK Alan | 75 |
5 | LUNDER Eirik | 78 |
6 | RASCH Jesper | 71 |
8 | KOGUT Oded | 77 |
10 | LINDNER Tom | 71 |
11 | KRAWCZYK Szymon | 79 |
13 | MUNK-OLSEN Oscar | 68 |