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 = -1.7 * weight + 135
This means that on average for every extra kilogram weight a rider loses -1.7 positions in the result.
Merckx
1
74 kgGimondi
12
78 kgBalmamion
18
67 kgPfenninger
24
70 kgPeffgen
31
67 kg
1
74 kgGimondi
12
78 kgBalmamion
18
67 kgPfenninger
24
70 kgPeffgen
31
67 kg
Weight (KG) →
Result →
78
67
1
31
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MERCKX Eddy | 74 |
| 12 | GIMONDI Felice | 78 |
| 18 | BALMAMION Franco | 67 |
| 24 | PFENNINGER Louis | 70 |
| 31 | PEFFGEN Wilfried | 67 |