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 = 0.1 * weight + 23
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Mansilla
11
68 kgGili
14
74 kgSoliz
15
58 kgSepulveda
21
66 kgDiaz
32
61 kgZapata
33
62 kgMedina
38
65 kgMédici
55
70 kg
11
68 kgGili
14
74 kgSoliz
15
58 kgSepulveda
21
66 kgDiaz
32
61 kgZapata
33
62 kgMedina
38
65 kgMédici
55
70 kg
Weight (KG) →
Result →
74
58
11
55
| # | Rider | Weight (KG) |
|---|---|---|
| 11 | MANSILLA Luis Miguel | 68 |
| 14 | GILI Ignacio | 74 |
| 15 | SOLIZ Óscar | 58 |
| 21 | SEPULVEDA Luis Fernando | 66 |
| 32 | DIAZ Daniel | 61 |
| 33 | ZAPATA Javier de Jesús | 62 |
| 38 | MEDINA Jose Alfredo | 65 |
| 55 | MÉDICI Matías | 70 |