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 = -0.4 * weight + 47
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Ritter
2
74 kgBalmamion
25
67 kgGimondi
25
78 kgSchutz
25
72 kgZanin
25
74 kg
2
74 kgBalmamion
25
67 kgGimondi
25
78 kgSchutz
25
72 kgZanin
25
74 kg
Weight (KG) →
Result →
78
67
2
25
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | RITTER Ole | 74 |
| 25 | BALMAMION Franco | 67 |
| 25 | GIMONDI Felice | 78 |
| 25 | SCHUTZ Edy | 72 |
| 25 | ZANIN Mario | 74 |