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 + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Merckx
1
74 kgKarstens
3
74 kgRosiers
4
78 kgVan Impe
8
59 kgBilsland
10
73 kg
1
74 kgKarstens
3
74 kgRosiers
4
78 kgVan Impe
8
59 kgBilsland
10
73 kg
Weight (KG) →
Result →
78
59
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MERCKX Eddy | 74 |
| 3 | KARSTENS Gerben | 74 |
| 4 | ROSIERS Roger | 78 |
| 8 | VAN IMPE Lucien | 59 |
| 10 | BILSLAND William | 73 |