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 = 1.5 * weight - 82
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
Gavazzi
10
67 kgVan Impe
13
59 kgAlgeri
23
68 kgCaroli
35
77 kgMartinelli
38
74 kg
10
67 kgVan Impe
13
59 kgAlgeri
23
68 kgCaroli
35
77 kgMartinelli
38
74 kg
Weight (KG) →
Result →
77
59
10
38
| # | Rider | Weight (KG) |
|---|---|---|
| 10 | GAVAZZI Pierino | 67 |
| 13 | VAN IMPE Lucien | 59 |
| 23 | ALGERI Vittorio | 68 |
| 35 | CAROLI Daniele | 77 |
| 38 | MARTINELLI Giuseppe | 74 |