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 = -0.3 * weight + 33
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Moser
1
79 kgAlgeri
6
68 kgVan Impe
10
59 kgPagnin
16
74 kgGavazzi
19
67 kg
1
79 kgAlgeri
6
68 kgVan Impe
10
59 kgPagnin
16
74 kgGavazzi
19
67 kg
Weight (KG) →
Result →
79
59
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOSER Francesco | 79 |
| 6 | ALGERI Vittorio | 68 |
| 10 | VAN IMPE Lucien | 59 |
| 16 | PAGNIN Roberto | 74 |
| 19 | GAVAZZI Pierino | 67 |