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 + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Benfatto
5
71 kgMonsalve
6
62 kgAular
8
65 kgUbeto
9
60 kgPalini
10
67 kg
5
71 kgMonsalve
6
62 kgAular
8
65 kgUbeto
9
60 kgPalini
10
67 kg
Weight (KG) →
Result →
71
60
5
10
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | BENFATTO Marco | 71 |
| 6 | MONSALVE Yonathan | 62 |
| 8 | AULAR Orluis | 65 |
| 9 | UBETO Miguel Armando | 60 |
| 10 | PALINI Andrea | 67 |