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 = -1.4 * weight + 107
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
Bławdzin
1
69 kgHanusik
4
74 kgKegel
6
72 kgGazda
7
69 kgKudra
16
68 kgSaidkhuzhin
17
69 kg
1
69 kgHanusik
4
74 kgKegel
6
72 kgGazda
7
69 kgKudra
16
68 kgSaidkhuzhin
17
69 kg
Weight (KG) →
Result →
74
68
1
17
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BŁAWDZIN Andrzej | 69 |
| 4 | HANUSIK Zygmunt | 74 |
| 6 | KEGEL Marian | 72 |
| 7 | GAZDA Stanislaw | 69 |
| 16 | KUDRA Jan | 68 |
| 17 | SAIDKHUZHIN Gainan | 69 |