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 = 1.4 * weight - 65
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Monsalve
1
62 kgSosa
9
52 kgRodríguez
10
58 kgAular
16
65 kgUbeto
32
60 kgPalini
35
67 kgLinarez
38
74 kg
1
62 kgSosa
9
52 kgRodríguez
10
58 kgAular
16
65 kgUbeto
32
60 kgPalini
35
67 kgLinarez
38
74 kg
Weight (KG) →
Result →
74
52
1
38
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MONSALVE Yonathan | 62 |
| 9 | SOSA Iván Ramiro | 52 |
| 10 | RODRÍGUEZ Jackson | 58 |
| 16 | AULAR Orluis | 65 |
| 32 | UBETO Miguel Armando | 60 |
| 35 | PALINI Andrea | 67 |
| 38 | LINAREZ Leangel Rubén | 74 |