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 = 0.7 * weight - 19
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Gili
3
74 kgSoliz
6
58 kgZapata
9
62 kgSepulveda
13
66 kgMedina
35
65 kgDiaz
45
61 kgMansilla
56
68 kgMédici
58
70 kg
3
74 kgSoliz
6
58 kgZapata
9
62 kgSepulveda
13
66 kgMedina
35
65 kgDiaz
45
61 kgMansilla
56
68 kgMédici
58
70 kg
Weight (KG) →
Result →
74
58
3
58
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | GILI Ignacio | 74 |
| 6 | SOLIZ Óscar | 58 |
| 9 | ZAPATA Javier de Jesús | 62 |
| 13 | SEPULVEDA Luis Fernando | 66 |
| 35 | MEDINA Jose Alfredo | 65 |
| 45 | DIAZ Daniel | 61 |
| 56 | MANSILLA Luis Miguel | 68 |
| 58 | MÉDICI Matías | 70 |