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 = -1.6 * weight + 147
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
Botero
23
75 kgChalapud
37
63 kgDuarte
42
55 kgRodríguez
51
58 kgGonzález
57
55 kgPedraza
73
58 kg
23
75 kgChalapud
37
63 kgDuarte
42
55 kgRodríguez
51
58 kgGonzález
57
55 kgPedraza
73
58 kg
Weight (KG) →
Result →
75
55
23
73
| # | Rider | Weight (KG) |
|---|---|---|
| 23 | BOTERO Santiago | 75 |
| 37 | CHALAPUD Robinson | 63 |
| 42 | DUARTE Fabio | 55 |
| 51 | RODRÍGUEZ Jackson | 58 |
| 57 | GONZÁLEZ Freddy Excelino | 55 |
| 73 | PEDRAZA Wálter Fernando | 58 |