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 = -0.6 * weight + 51
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Godefroot
2
73 kgDemeyer
4
85 kgDierickx
10
74 kgVan Impe
17
59 kgMarcussen
19
70 kg
2
73 kgDemeyer
4
85 kgDierickx
10
74 kgVan Impe
17
59 kgMarcussen
19
70 kg
Weight (KG) →
Result →
85
59
2
19
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GODEFROOT Walter | 73 |
| 4 | DEMEYER Marc | 85 |
| 10 | DIERICKX André | 74 |
| 17 | VAN IMPE Lucien | 59 |
| 19 | MARCUSSEN Jørgen | 70 |