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 + 2
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
González
2
55 kgMarín
3
55 kgChacón
4
63 kgMaya
5
58 kgGuevara
8
65 kgOchoa
10
62 kgRojas
37
58 kgPumar
44
60 kg
2
55 kgMarín
3
55 kgChacón
4
63 kgMaya
5
58 kgGuevara
8
65 kgOchoa
10
62 kgRojas
37
58 kgPumar
44
60 kg
Weight (KG) →
Result →
65
55
2
44
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GONZÁLEZ Freddy Excelino | 55 |
| 3 | MARÍN Ruber Alveiro | 55 |
| 4 | CHACÓN José Isidro | 63 |
| 5 | MAYA Carlos Alberto | 58 |
| 8 | GUEVARA Manuel Enrique | 65 |
| 10 | OCHOA Carlos José | 62 |
| 37 | ROJAS Juan Carlos | 58 |
| 44 | PUMAR Omar | 60 |