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 + 22
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Schur
1
73 kgVanden Berghen
2
76 kgAdler
3
62 kgHagen
4
74 kgGazda
5
69 kgMegyerdi
9
65 kg
1
73 kgVanden Berghen
2
76 kgAdler
3
62 kgHagen
4
74 kgGazda
5
69 kgMegyerdi
9
65 kg
Weight (KG) →
Result →
76
62
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHUR Gustav-Adolf | 73 |
| 2 | VANDEN BERGHEN Willy | 76 |
| 3 | ADLER Egon | 62 |
| 4 | HAGEN Erich | 74 |
| 5 | GAZDA Stanislaw | 69 |
| 9 | MEGYERDI Antal | 65 |