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 - 18
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Ritter
1
74 kgMoser
2
79 kgDe Vlaeminck
3
74 kgPettersson
4
75 kgRodríguez
5
70 kgGimondi
6
78 kgConti
10
79 kg
1
74 kgMoser
2
79 kgDe Vlaeminck
3
74 kgPettersson
4
75 kgRodríguez
5
70 kgGimondi
6
78 kgConti
10
79 kg
Weight (KG) →
Result →
79
70
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RITTER Ole | 74 |
| 2 | MOSER Francesco | 79 |
| 3 | DE VLAEMINCK Roger | 74 |
| 4 | PETTERSSON Gösta | 75 |
| 5 | RODRÍGUEZ Martín Emilio | 70 |
| 6 | GIMONDI Felice | 78 |
| 10 | CONTI Tino | 79 |