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 = 0.1 * weight + 6
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Pérez
1
68 kgPérez
3
68 kgMaya
5
58 kgGonzález
6
55 kgGil Martinez
13
60 kgUbeto
15
60 kgAlzate
16
74 kgChacón
22
63 kg
1
68 kgPérez
3
68 kgMaya
5
58 kgGonzález
6
55 kgGil Martinez
13
60 kgUbeto
15
60 kgAlzate
16
74 kgChacón
22
63 kg
Weight (KG) →
Result →
74
55
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PÉREZ Marlon Alirio | 68 |
| 3 | PÉREZ Pedro Pablo | 68 |
| 5 | MAYA Carlos Alberto | 58 |
| 6 | GONZÁLEZ Freddy Excelino | 55 |
| 13 | GIL MARTINEZ Tomas Aurelio | 60 |
| 15 | UBETO Miguel Armando | 60 |
| 16 | ALZATE Carlos | 74 |
| 22 | CHACÓN José Isidro | 63 |