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 + 10
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Saronni
1
65 kgSchuiten
2
83 kgPollentier
4
62 kgVan Impe
5
59 kgLasa
8
68 kg
1
65 kgSchuiten
2
83 kgPollentier
4
62 kgVan Impe
5
59 kgLasa
8
68 kg
Weight (KG) →
Result →
83
59
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SARONNI Giuseppe | 65 |
| 2 | SCHUITEN Roy | 83 |
| 4 | POLLENTIER Michel | 62 |
| 5 | VAN IMPE Lucien | 59 |
| 8 | LASA Miguel María | 68 |