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 = -4.1 * weight + 296
This means that on average for every extra kilogram weight a rider loses -4.1 positions in the result.
Gavazzi
3
67 kgFernández
5
68 kgBaronchelli
9
72 kgVandi
35
64 kgSaronni
43
65 kg
3
67 kgFernández
5
68 kgBaronchelli
9
72 kgVandi
35
64 kgSaronni
43
65 kg
Weight (KG) →
Result →
72
64
3
43
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | GAVAZZI Pierino | 67 |
| 5 | FERNÁNDEZ Juan | 68 |
| 9 | BARONCHELLI Gianbattista | 72 |
| 35 | VANDI Alfio | 64 |
| 43 | SARONNI Giuseppe | 65 |