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 = 0.9 * weight - 54
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Pagnin
3
74 kgElli
4
71 kgKonyshev
9
77 kgBallerini
26
78 kgBortolami
39
73 kg
3
74 kgElli
4
71 kgKonyshev
9
77 kgBallerini
26
78 kgBortolami
39
73 kg
Weight (KG) →
Result →
78
71
3
39
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | PAGNIN Roberto | 74 |
| 4 | ELLI Alberto | 71 |
| 9 | KONYSHEV Dmitry | 77 |
| 26 | BALLERINI Franco | 78 |
| 39 | BORTOLAMI Gianluca | 73 |