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 = 0.1 * weight - 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Merckx
1
74 kgGimondi
2
78 kgPoulidor
3
71 kgRitter
4
74 kgPfenninger
6
70 kgJanssen
12
76 kg
1
74 kgGimondi
2
78 kgPoulidor
3
71 kgRitter
4
74 kgPfenninger
6
70 kgJanssen
12
76 kg
Weight (KG) →
Result →
78
70
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MERCKX Eddy | 74 |
| 2 | GIMONDI Felice | 78 |
| 3 | POULIDOR Raymond | 71 |
| 4 | RITTER Ole | 74 |
| 6 | PFENNINGER Louis | 70 |
| 12 | JANSSEN Jan | 76 |