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 = 31.9 * weight - 2029
This means that on average for every extra kilogram weight a rider loses 31.9 positions in the result.
Trapè
1
75 kgAdler
2
62 kgGazda
4
69 kgPodobas
5
70 kgSchur
990
73 kg
1
75 kgAdler
2
62 kgGazda
4
69 kgPodobas
5
70 kgSchur
990
73 kg
Weight (KG) →
Result →
75
62
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TRAPÈ Livio | 75 |
| 2 | ADLER Egon | 62 |
| 4 | GAZDA Stanislaw | 69 |
| 5 | PODOBAS Wiesław | 70 |
| 990 | SCHUR Gustav-Adolf | 73 |