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 = 1.9 * weight - 103
This means that on average for every extra kilogram weight a rider loses 1.9 positions in the result.
Sepulveda
3
66 kgDiaz
4
61 kgZapata
6
62 kgMansilla
16
68 kgMedina
28
65 kgSoliz
33
58 kgGili
43
74 kgMédici
57
70 kg
3
66 kgDiaz
4
61 kgZapata
6
62 kgMansilla
16
68 kgMedina
28
65 kgSoliz
33
58 kgGili
43
74 kgMédici
57
70 kg
Weight (KG) →
Result →
74
58
3
57
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | SEPULVEDA Luis Fernando | 66 |
| 4 | DIAZ Daniel | 61 |
| 6 | ZAPATA Javier de Jesús | 62 |
| 16 | MANSILLA Luis Miguel | 68 |
| 28 | MEDINA Jose Alfredo | 65 |
| 33 | SOLIZ Óscar | 58 |
| 43 | GILI Ignacio | 74 |
| 57 | MÉDICI Matías | 70 |