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 = 2.5 * weight - 137
This means that on average for every extra kilogram weight a rider loses 2.5 positions in the result.
Sepulveda
2
66 kgDiaz
3
61 kgSoliz
14
58 kgMansilla
18
68 kgZapata
19
62 kgGili
44
74 kgMedina
45
65 kgMédici
56
70 kg
2
66 kgDiaz
3
61 kgSoliz
14
58 kgMansilla
18
68 kgZapata
19
62 kgGili
44
74 kgMedina
45
65 kgMédici
56
70 kg
Weight (KG) →
Result →
74
58
2
56
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SEPULVEDA Luis Fernando | 66 |
| 3 | DIAZ Daniel | 61 |
| 14 | SOLIZ Óscar | 58 |
| 18 | MANSILLA Luis Miguel | 68 |
| 19 | ZAPATA Javier de Jesús | 62 |
| 44 | GILI Ignacio | 74 |
| 45 | MEDINA Jose Alfredo | 65 |
| 56 | MÉDICI Matías | 70 |