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 = -0.2 * weight + 18
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Černý
2
75 kgGradek
5
83 kgWiśniowski
6
78 kgVasilyev
7
70 kgKoshevoy
8
62.5 kg
2
75 kgGradek
5
83 kgWiśniowski
6
78 kgVasilyev
7
70 kgKoshevoy
8
62.5 kg
Weight (KG) →
Result →
83
62.5
2
8
# | Rider | Weight (KG) |
---|---|---|
2 | ČERNÝ Josef | 75 |
5 | GRADEK Kamil | 83 |
6 | WIŚNIOWSKI Łukasz | 78 |
7 | VASILYEV Maksym | 70 |
8 | KOSHEVOY Ilia | 62.5 |