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 + 2
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Vianelli
4
73 kgRitter
7
74 kgPettersson
26
69 kgGimondi
32
78 kgBalmamion
32
67 kgPettersson
52
75 kg
4
73 kgRitter
7
74 kgPettersson
26
69 kgGimondi
32
78 kgBalmamion
32
67 kgPettersson
52
75 kg
Weight (KG) →
Result →
78
67
4
52
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | VIANELLI Pierfranco | 73 |
| 7 | RITTER Ole | 74 |
| 26 | PETTERSSON Tomas | 69 |
| 32 | GIMONDI Felice | 78 |
| 32 | BALMAMION Franco | 67 |
| 52 | PETTERSSON Gösta | 75 |