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 = 1.1 * weight - 47
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
González
6
51 kgTeruel
8
56 kgPattaro
14
60 kgVan Twisk
16
53 kgPerini
25
62 kgBadegruber
27
56 kg
6
51 kgTeruel
8
56 kgPattaro
14
60 kgVan Twisk
16
53 kgPerini
25
62 kgBadegruber
27
56 kg
Weight (KG) →
Result →
62
51
6
27
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | GONZÁLEZ Alicia | 51 |
| 8 | TERUEL Alba | 56 |
| 14 | PATTARO Francesca | 60 |
| 16 | VAN TWISK Abigail | 53 |
| 25 | PERINI Chiara | 62 |
| 27 | BADEGRUBER Anna | 56 |