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 = 3.9 * weight - 220
This means that on average for every extra kilogram weight a rider loses 3.9 positions in the result.
Guamá
6
61 kgCastaño
9
66 kgRojas
12
58 kgDiaz
39
61 kgRagonessi
49
67 kgMédici
60
70 kgRodas
62
68 kg
6
61 kgCastaño
9
66 kgRojas
12
58 kgDiaz
39
61 kgRagonessi
49
67 kgMédici
60
70 kgRodas
62
68 kg
Weight (KG) →
Result →
70
58
6
62
# | Rider | Weight (KG) |
---|---|---|
6 | GUAMÁ Byron | 61 |
9 | CASTAÑO Erick | 66 |
12 | ROJAS Juan Carlos | 58 |
39 | DIAZ Daniel | 61 |
49 | RAGONESSI José | 67 |
60 | MÉDICI Matías | 70 |
62 | RODAS Manuel | 68 |