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 = 1.1 * weight - 46
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Sepulveda
1
66 kgMansilla
3
68 kgSoliz
4
58 kgZapata
30
62 kgMedina
31
65 kgGili
36
74 kgDiaz
45
61 kgMédici
54
70 kg
1
66 kgMansilla
3
68 kgSoliz
4
58 kgZapata
30
62 kgMedina
31
65 kgGili
36
74 kgDiaz
45
61 kgMédici
54
70 kg
Weight (KG) →
Result →
74
58
1
54
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SEPULVEDA Luis Fernando | 66 |
| 3 | MANSILLA Luis Miguel | 68 |
| 4 | SOLIZ Óscar | 58 |
| 30 | ZAPATA Javier de Jesús | 62 |
| 31 | MEDINA Jose Alfredo | 65 |
| 36 | GILI Ignacio | 74 |
| 45 | DIAZ Daniel | 61 |
| 54 | MÉDICI Matías | 70 |