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 = 0.2 * weight + 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
González
4
55 kgPérez
10
68 kgAlzate
12
74 kgSuarez
13
67 kgPedraza
14
58 kgArango
18
62 kg
4
55 kgPérez
10
68 kgAlzate
12
74 kgSuarez
13
67 kgPedraza
14
58 kgArango
18
62 kg
Weight (KG) →
Result →
74
55
4
18
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | GONZÁLEZ Freddy Excelino | 55 |
| 10 | PÉREZ Marlon Alirio | 68 |
| 12 | ALZATE Carlos | 74 |
| 13 | SUAREZ Camilo Andres | 67 |
| 14 | PEDRAZA Wálter Fernando | 58 |
| 18 | ARANGO Juan Esteban | 62 |