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 = -0.8 * weight + 68
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Bugno
4
68 kgBaronchelli
6
72 kgCaroli
7
77 kgSaronni
12
65 kgGavazzi
26
67 kg
4
68 kgBaronchelli
6
72 kgCaroli
7
77 kgSaronni
12
65 kgGavazzi
26
67 kg
Weight (KG) →
Result →
77
65
4
26
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | BUGNO Gianni | 68 |
| 6 | BARONCHELLI Gianbattista | 72 |
| 7 | CAROLI Daniele | 77 |
| 12 | SARONNI Giuseppe | 65 |
| 26 | GAVAZZI Pierino | 67 |