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 = -1.8 * weight + 162
This means that on average for every extra kilogram weight a rider loses -1.8 positions in the result.
Ritter
3
74 kgAndreoli
36
73 kgPfenninger
36
70 kgBalmamion
36
67 kgSchutz
36
72 kgMealli
36
73 kgZanin
36
74 kg
3
74 kgAndreoli
36
73 kgPfenninger
36
70 kgBalmamion
36
67 kgSchutz
36
72 kgMealli
36
73 kgZanin
36
74 kg
Weight (KG) →
Result →
74
67
3
36
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | RITTER Ole | 74 |
| 36 | ANDREOLI Severino | 73 |
| 36 | PFENNINGER Louis | 70 |
| 36 | BALMAMION Franco | 67 |
| 36 | SCHUTZ Edy | 72 |
| 36 | MEALLI Bruno | 73 |
| 36 | ZANIN Mario | 74 |