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 + 23
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Vanden Berghen
1
76 kgSchur
2
73 kgHagen
3
74 kgLacombe
5
77 kgEckstein
7
57 kgDuez
8
64 kg
1
76 kgSchur
2
73 kgHagen
3
74 kgLacombe
5
77 kgEckstein
7
57 kgDuez
8
64 kg
Weight (KG) →
Result →
77
57
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VANDEN BERGHEN Willy | 76 |
| 2 | SCHUR Gustav-Adolf | 73 |
| 3 | HAGEN Erich | 74 |
| 5 | LACOMBE Roland | 77 |
| 7 | ECKSTEIN Bernhard | 57 |
| 8 | DUEZ Henri | 64 |