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 - 18
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Saronni
1
65 kgGavazzi
2
67 kgVan Looy
3
75 kgMartinelli
5
74 kgParecchini
6
71 kg
1
65 kgGavazzi
2
67 kgVan Looy
3
75 kgMartinelli
5
74 kgParecchini
6
71 kg
Weight (KG) →
Result →
75
65
1
6
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SARONNI Giuseppe | 65 |
| 2 | GAVAZZI Pierino | 67 |
| 3 | VAN LOOY Frans | 75 |
| 5 | MARTINELLI Giuseppe | 74 |
| 6 | PARECCHINI Aldo | 71 |