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 - 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Cipollini
1
77 kgLeoni
3
74 kgBaffi
6
70 kgFontanelli
12
68 kgBortolami
13
73 kgBallerini
20
78 kg
1
77 kgLeoni
3
74 kgBaffi
6
70 kgFontanelli
12
68 kgBortolami
13
73 kgBallerini
20
78 kg
Weight (KG) →
Result →
78
68
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CIPOLLINI Mario | 77 |
| 3 | LEONI Endrio | 74 |
| 6 | BAFFI Adriano | 70 |
| 12 | FONTANELLI Fabiano | 68 |
| 13 | BORTOLAMI Gianluca | 73 |
| 20 | BALLERINI Franco | 78 |