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 - 62
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Soliz
5
58 kgDiaz
10
61 kgGili
15
74 kgZapata
19
62 kgMédici
26
70 kgMedina
33
65 kgSepulveda
51
66 kgMansilla
61
68 kg
5
58 kgDiaz
10
61 kgGili
15
74 kgZapata
19
62 kgMédici
26
70 kgMedina
33
65 kgSepulveda
51
66 kgMansilla
61
68 kg
Weight (KG) →
Result →
74
58
5
61
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | SOLIZ Óscar | 58 |
| 10 | DIAZ Daniel | 61 |
| 15 | GILI Ignacio | 74 |
| 19 | ZAPATA Javier de Jesús | 62 |
| 26 | MÉDICI Matías | 70 |
| 33 | MEDINA Jose Alfredo | 65 |
| 51 | SEPULVEDA Luis Fernando | 66 |
| 61 | MANSILLA Luis Miguel | 68 |