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 * weight + 24
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Zapata
1
62 kgGili
4
74 kgSoliz
6
58 kgMedina
24
65 kgMédici
30
70 kgSepulveda
33
66 kgMansilla
55
68 kgDiaz
57
61 kg
1
62 kgGili
4
74 kgSoliz
6
58 kgMedina
24
65 kgMédici
30
70 kgSepulveda
33
66 kgMansilla
55
68 kgDiaz
57
61 kg
Weight (KG) →
Result →
74
58
1
57
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZAPATA Javier de Jesús | 62 |
| 4 | GILI Ignacio | 74 |
| 6 | SOLIZ Óscar | 58 |
| 24 | MEDINA Jose Alfredo | 65 |
| 30 | MÉDICI Matías | 70 |
| 33 | SEPULVEDA Luis Fernando | 66 |
| 55 | MANSILLA Luis Miguel | 68 |
| 57 | DIAZ Daniel | 61 |