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 = 0.2 * weight - 12
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Biddle
3
64 kgDe Vlaeminck
4
74 kgRiccomi
5
66 kgPettersson
6
75 kgGimondi
8
78 kg
3
64 kgDe Vlaeminck
4
74 kgRiccomi
5
66 kgPettersson
6
75 kgGimondi
8
78 kg
Weight (KG) →
Result →
78
64
3
8
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BIDDLE Bruce | 64 |
| 4 | DE VLAEMINCK Roger | 74 |
| 5 | RICCOMI Walter | 66 |
| 6 | PETTERSSON Gösta | 75 |
| 8 | GIMONDI Felice | 78 |