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 = -0.3 * weight + 34
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Gavazzi
5
67 kgGimondi
7
78 kgPettersson
11
75 kgRiccomi
15
66 kgRodríguez
20
70 kg
5
67 kgGimondi
7
78 kgPettersson
11
75 kgRiccomi
15
66 kgRodríguez
20
70 kg
Weight (KG) →
Result →
78
66
5
20
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | GAVAZZI Pierino | 67 |
| 7 | GIMONDI Felice | 78 |
| 11 | PETTERSSON Gösta | 75 |
| 15 | RICCOMI Walter | 66 |
| 20 | RODRÍGUEZ Martín Emilio | 70 |