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 = -1.7 * weight + 147
This means that on average for every extra kilogram weight a rider loses -1.7 positions in the result.
De Vlaeminck
7
74 kgPettersson
8
69 kgGimondi
9
78 kgVianelli
14
73 kgPettersson
48
75 kgBalmamion
50
67 kg
7
74 kgPettersson
8
69 kgGimondi
9
78 kgVianelli
14
73 kgPettersson
48
75 kgBalmamion
50
67 kg
Weight (KG) →
Result →
78
67
7
50
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | DE VLAEMINCK Roger | 74 |
| 8 | PETTERSSON Tomas | 69 |
| 9 | GIMONDI Felice | 78 |
| 14 | VIANELLI Pierfranco | 73 |
| 48 | PETTERSSON Gösta | 75 |
| 50 | BALMAMION Franco | 67 |