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 = -0.2 * weight + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Santhia
3
73 kgRossignoli
4
71 kgPetiva
7
71 kgSala
9
62 kgContesini
13
72 kg
3
73 kgRossignoli
4
71 kgPetiva
7
71 kgSala
9
62 kgContesini
13
72 kg
Weight (KG) →
Result →
73
62
3
13
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | SANTHIA Giuseppe | 73 |
| 4 | ROSSIGNOLI Giovanni | 71 |
| 7 | PETIVA Emilio | 71 |
| 9 | SALA Enrico | 62 |
| 13 | CONTESINI Giuseppe | 72 |