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 = -0.6 * weight + 51
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Cenghialta
1
73 kgElli
2
71 kgBortolami
3
73 kgZanini
4
80 kgRiis
7
71 kgChiappucci
8
67 kgBerzin
14
64 kg
1
73 kgElli
2
71 kgBortolami
3
73 kgZanini
4
80 kgRiis
7
71 kgChiappucci
8
67 kgBerzin
14
64 kg
Weight (KG) →
Result →
80
64
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CENGHIALTA Bruno | 73 |
| 2 | ELLI Alberto | 71 |
| 3 | BORTOLAMI Gianluca | 73 |
| 4 | ZANINI Stefano | 80 |
| 7 | RIIS Bjarne | 71 |
| 8 | CHIAPPUCCI Claudio | 67 |
| 14 | BERZIN Evgeni | 64 |