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 = -0.1 * weight + 17
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Rué
2
74 kgGiupponi
5
60 kgFontanelli
7
68 kgBortolami
8
73 kgHamburger
14
58 kgMartinello
18
71 kgLelli
20
69 kg
2
74 kgGiupponi
5
60 kgFontanelli
7
68 kgBortolami
8
73 kgHamburger
14
58 kgMartinello
18
71 kgLelli
20
69 kg
Weight (KG) →
Result →
74
58
2
20
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | RUÉ Gérard | 74 |
| 5 | GIUPPONI Flavio | 60 |
| 7 | FONTANELLI Fabiano | 68 |
| 8 | BORTOLAMI Gianluca | 73 |
| 14 | HAMBURGER Bo | 58 |
| 18 | MARTINELLO Silvio | 71 |
| 20 | LELLI Massimiliano | 69 |