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 + 24
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Godefroot
4
73 kgPettersson
5
67 kgGimondi
9
78 kgBalmamion
24
67 kgBramucci
54
70 kgRitter
60
74 kg
4
73 kgPettersson
5
67 kgGimondi
9
78 kgBalmamion
24
67 kgBramucci
54
70 kgRitter
60
74 kg
Weight (KG) →
Result →
78
67
4
60
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | GODEFROOT Walter | 73 |
| 5 | PETTERSSON Erik | 67 |
| 9 | GIMONDI Felice | 78 |
| 24 | BALMAMION Franco | 67 |
| 54 | BRAMUCCI Giovanni | 70 |
| 60 | RITTER Ole | 74 |