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 = -0.6 * weight + 55
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Pagnin
3
74 kgBaronchelli
4
72 kgBugno
9
68 kgCenghialta
10
73 kgCaroli
13
77 kgGiupponi
19
60 kgDemierre
21
70 kg
3
74 kgBaronchelli
4
72 kgBugno
9
68 kgCenghialta
10
73 kgCaroli
13
77 kgGiupponi
19
60 kgDemierre
21
70 kg
Weight (KG) →
Result →
77
60
3
21
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | PAGNIN Roberto | 74 |
| 4 | BARONCHELLI Gianbattista | 72 |
| 9 | BUGNO Gianni | 68 |
| 10 | CENGHIALTA Bruno | 73 |
| 13 | CAROLI Daniele | 77 |
| 19 | GIUPPONI Flavio | 60 |
| 21 | DEMIERRE Serge | 70 |