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 + 25
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Baronchelli
3
72 kgAlgeri
6
68 kgGavazzi
7
67 kgZoetemelk
12
68 kgPrim
14
76 kgVan Impe
15
59 kg
3
72 kgAlgeri
6
68 kgGavazzi
7
67 kgZoetemelk
12
68 kgPrim
14
76 kgVan Impe
15
59 kg
Weight (KG) →
Result →
76
59
3
15
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BARONCHELLI Gianbattista | 72 |
| 6 | ALGERI Vittorio | 68 |
| 7 | GAVAZZI Pierino | 67 |
| 12 | ZOETEMELK Joop | 68 |
| 14 | PRIM Tommy | 76 |
| 15 | VAN IMPE Lucien | 59 |