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 + 17
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Merckx
1
74 kgRosiers
4
78 kgMortensen
5
70 kgDe Vlaeminck
7
74 kgPettersson
9
75 kgGodefroot
10
73 kg
1
74 kgRosiers
4
78 kgMortensen
5
70 kgDe Vlaeminck
7
74 kgPettersson
9
75 kgGodefroot
10
73 kg
Weight (KG) →
Result →
78
70
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MERCKX Eddy | 74 |
| 4 | ROSIERS Roger | 78 |
| 5 | MORTENSEN Leif | 70 |
| 7 | DE VLAEMINCK Roger | 74 |
| 9 | PETTERSSON Gösta | 75 |
| 10 | GODEFROOT Walter | 73 |