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 = 0.4 * weight - 22
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Godefroot
1
73 kgMerckx
2
74 kgRosiers
7
78 kgDe Vlaeminck
11
74 kgSwerts
16
75 kgDierickx
18
74 kg
1
73 kgMerckx
2
74 kgRosiers
7
78 kgDe Vlaeminck
11
74 kgSwerts
16
75 kgDierickx
18
74 kg
Weight (KG) →
Result →
78
73
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GODEFROOT Walter | 73 |
| 2 | MERCKX Eddy | 74 |
| 7 | ROSIERS Roger | 78 |
| 11 | DE VLAEMINCK Roger | 74 |
| 16 | SWERTS Roger | 75 |
| 18 | DIERICKX André | 74 |