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 = 2.5 * weight - 173
This means that on average for every extra kilogram weight a rider loses 2.5 positions in the result.
De Vlaeminck
1
74 kgPettersson
4
69 kgPettersson
14
75 kgVianelli
16
73 kgRitter
25
74 kgGimondi
29
78 kg
1
74 kgPettersson
4
69 kgPettersson
14
75 kgVianelli
16
73 kgRitter
25
74 kgGimondi
29
78 kg
Weight (KG) →
Result →
78
69
1
29
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE VLAEMINCK Roger | 74 |
| 4 | PETTERSSON Tomas | 69 |
| 14 | PETTERSSON Gösta | 75 |
| 16 | VIANELLI Pierfranco | 73 |
| 25 | RITTER Ole | 74 |
| 29 | GIMONDI Felice | 78 |