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 = 0.5 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Soliz
2
58 kgGili
8
74 kgZapata
10
62 kgSepulveda
25
66 kgMédici
27
70 kgMedina
28
65 kgDiaz
33
61 kgMansilla
42
68 kg
2
58 kgGili
8
74 kgZapata
10
62 kgSepulveda
25
66 kgMédici
27
70 kgMedina
28
65 kgDiaz
33
61 kgMansilla
42
68 kg
Weight (KG) →
Result →
74
58
2
42
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SOLIZ Óscar | 58 |
| 8 | GILI Ignacio | 74 |
| 10 | ZAPATA Javier de Jesús | 62 |
| 25 | SEPULVEDA Luis Fernando | 66 |
| 27 | MÉDICI Matías | 70 |
| 28 | MEDINA Jose Alfredo | 65 |
| 33 | DIAZ Daniel | 61 |
| 42 | MANSILLA Luis Miguel | 68 |