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 = -0.3 * weight + 28
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Zieliński
1
80 kgGazda
2
69 kgSchur
3
73 kgKapitonov
5
73 kgMegyerdi
8
65 kgSmolík
10
73 kg
1
80 kgGazda
2
69 kgSchur
3
73 kgKapitonov
5
73 kgMegyerdi
8
65 kgSmolík
10
73 kg
Weight (KG) →
Result →
80
65
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZIELIŃSKI Rajmund | 80 |
| 2 | GAZDA Stanislaw | 69 |
| 3 | SCHUR Gustav-Adolf | 73 |
| 5 | KAPITONOV Viktor | 73 |
| 8 | MEGYERDI Antal | 65 |
| 10 | SMOLÍK Jan | 73 |