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 = -0.4 * weight + 40
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Hanusik
2
74 kgSzurkowski
3
77 kgBławdzin
9
69 kgMagiera
10
78 kgCzechowski
14
75 kgKegel
16
72 kg
2
74 kgSzurkowski
3
77 kgBławdzin
9
69 kgMagiera
10
78 kgCzechowski
14
75 kgKegel
16
72 kg
Weight (KG) →
Result →
78
69
2
16
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HANUSIK Zygmunt | 74 |
| 3 | SZURKOWSKI Ryszard | 77 |
| 9 | BŁAWDZIN Andrzej | 69 |
| 10 | MAGIERA Jan | 78 |
| 14 | CZECHOWSKI Zenon | 75 |
| 16 | KEGEL Marian | 72 |