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 + 34
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Schur
1
73 kgSaidkhuzhin
4
69 kgTörök
5
68 kgPodobas
6
70 kgAdler
7
62 kgGazda
10
69 kg
1
73 kgSaidkhuzhin
4
69 kgTörök
5
68 kgPodobas
6
70 kgAdler
7
62 kgGazda
10
69 kg
Weight (KG) →
Result →
73
62
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHUR Gustav-Adolf | 73 |
| 4 | SAIDKHUZHIN Gainan | 69 |
| 5 | TÖRÖK Győző | 68 |
| 6 | PODOBAS Wiesław | 70 |
| 7 | ADLER Egon | 62 |
| 10 | GAZDA Stanislaw | 69 |