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 = 0.2 * weight - 12
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Godefroot
1
73 kgMaertens
3
65 kgMerckx
4
74 kgDierickx
6
74 kgDemeyer
7
85 kg
1
73 kgMaertens
3
65 kgMerckx
4
74 kgDierickx
6
74 kgDemeyer
7
85 kg
Weight (KG) →
Result →
85
65
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GODEFROOT Walter | 73 |
| 3 | MAERTENS Freddy | 65 |
| 4 | MERCKX Eddy | 74 |
| 6 | DIERICKX André | 74 |
| 7 | DEMEYER Marc | 85 |