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 - 82
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
Henao
1
61 kgOchoa
4
62 kgMaya
9
58 kgPedraza
18
58 kgRaabe
30
71 kgChacón
37
63 kg
1
61 kgOchoa
4
62 kgMaya
9
58 kgPedraza
18
58 kgRaabe
30
71 kgChacón
37
63 kg
Weight (KG) →
Result →
71
58
1
37
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HENAO Sergio | 61 |
| 4 | OCHOA Carlos José | 62 |
| 9 | MAYA Carlos Alberto | 58 |
| 18 | PEDRAZA Wálter Fernando | 58 |
| 30 | RAABE Henry | 71 |
| 37 | CHACÓN José Isidro | 63 |