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 = -1.4 * weight + 106
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
Cipollini
1
77 kgSvorada
2
76 kgLombardi
4
73 kgLeoni
5
74 kgGuidi
6
73 kgBortolami
9
73 kg
1
77 kgSvorada
2
76 kgLombardi
4
73 kgLeoni
5
74 kgGuidi
6
73 kgBortolami
9
73 kg
Weight (KG) →
Result →
77
73
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CIPOLLINI Mario | 77 |
| 2 | SVORADA Ján | 76 |
| 4 | LOMBARDI Giovanni | 73 |
| 5 | LEONI Endrio | 74 |
| 6 | GUIDI Fabrizio | 73 |
| 9 | BORTOLAMI Gianluca | 73 |