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 * weight + 11
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Pfenninger
2
70 kgLasa
5
77 kgBalmamion
8
67 kgGimondi
14
78 kgMarine
19
69 kg
2
70 kgLasa
5
77 kgBalmamion
8
67 kgGimondi
14
78 kgMarine
19
69 kg
Weight (KG) →
Result →
78
67
2
19
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PFENNINGER Louis | 70 |
| 5 | LASA José Manuel | 77 |
| 8 | BALMAMION Franco | 67 |
| 14 | GIMONDI Felice | 78 |
| 19 | MARINE Jorge | 69 |