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 = -0.8 * weight + 79
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Mansilla
2
68 kgGili
3
74 kgZapata
16
62 kgSoliz
22
58 kgSepulveda
25
66 kgDiaz
29
61 kgMédici
39
70 kgMedina
51
65 kg
2
68 kgGili
3
74 kgZapata
16
62 kgSoliz
22
58 kgSepulveda
25
66 kgDiaz
29
61 kgMédici
39
70 kgMedina
51
65 kg
Weight (KG) →
Result →
74
58
2
51
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MANSILLA Luis Miguel | 68 |
| 3 | GILI Ignacio | 74 |
| 16 | ZAPATA Javier de Jesús | 62 |
| 22 | SOLIZ Óscar | 58 |
| 25 | SEPULVEDA Luis Fernando | 66 |
| 29 | DIAZ Daniel | 61 |
| 39 | MÉDICI Matías | 70 |
| 51 | MEDINA Jose Alfredo | 65 |