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 = -0.1 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Moser
3
79 kgParecchini
8
71 kgRiccomi
18
66 kgDe Vlaeminck
22
74 kgPettersson
24
75 kgGimondi
26
78 kgRitter
28
74 kg
3
79 kgParecchini
8
71 kgRiccomi
18
66 kgDe Vlaeminck
22
74 kgPettersson
24
75 kgGimondi
26
78 kgRitter
28
74 kg
Weight (KG) →
Result →
79
66
3
28
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MOSER Francesco | 79 |
| 8 | PARECCHINI Aldo | 71 |
| 18 | RICCOMI Walter | 66 |
| 22 | DE VLAEMINCK Roger | 74 |
| 24 | PETTERSSON Gösta | 75 |
| 26 | GIMONDI Felice | 78 |
| 28 | RITTER Ole | 74 |