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 = -0.6 * weight + 49
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Magiera
3
78 kgCzechowski
5
75 kgHanusik
6
74 kgSzurkowski
8
77 kgSaidkhuzhin
10
69 kg
3
78 kgCzechowski
5
75 kgHanusik
6
74 kgSzurkowski
8
77 kgSaidkhuzhin
10
69 kg
Weight (KG) →
Result →
78
69
3
10
# | Rider | Weight (KG) |
---|---|---|
3 | MAGIERA Jan | 78 |
5 | CZECHOWSKI Zenon | 75 |
6 | HANUSIK Zygmunt | 74 |
8 | SZURKOWSKI Ryszard | 77 |
10 | SAIDKHUZHIN Gainan | 69 |