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 = 1.4 * weight - 75
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Diaz
4
61 kgMansilla
5
68 kgZapata
7
62 kgSepulveda
11
66 kgSoliz
16
58 kgGili
29
74 kgMedina
37
65 kgMédici
41
70 kg
4
61 kgMansilla
5
68 kgZapata
7
62 kgSepulveda
11
66 kgSoliz
16
58 kgGili
29
74 kgMedina
37
65 kgMédici
41
70 kg
Weight (KG) →
Result →
74
58
4
41
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | DIAZ Daniel | 61 |
| 5 | MANSILLA Luis Miguel | 68 |
| 7 | ZAPATA Javier de Jesús | 62 |
| 11 | SEPULVEDA Luis Fernando | 66 |
| 16 | SOLIZ Óscar | 58 |
| 29 | GILI Ignacio | 74 |
| 37 | MEDINA Jose Alfredo | 65 |
| 41 | MÉDICI Matías | 70 |