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 = 0.5 * weight - 21
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Rominger
1
65 kgBugno
4
68 kgBaronchelli
15
72 kgVandi
16
64 kgGiupponi
19
60 kgFondriest
20
70 kgCaroli
24
77 kg
1
65 kgBugno
4
68 kgBaronchelli
15
72 kgVandi
16
64 kgGiupponi
19
60 kgFondriest
20
70 kgCaroli
24
77 kg
Weight (KG) →
Result →
77
60
1
24
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROMINGER Tony | 65 |
| 4 | BUGNO Gianni | 68 |
| 15 | BARONCHELLI Gianbattista | 72 |
| 16 | VANDI Alfio | 64 |
| 19 | GIUPPONI Flavio | 60 |
| 20 | FONDRIEST Maurizio | 70 |
| 24 | CAROLI Daniele | 77 |