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 - 94
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
Rodríguez
3
58 kgChacón
4
63 kgSerpa
5
64 kgFiorilli
6
63 kgOchoa
11
62 kgHoogerland
22
65 kg
3
58 kgChacón
4
63 kgSerpa
5
64 kgFiorilli
6
63 kgOchoa
11
62 kgHoogerland
22
65 kg
Weight (KG) →
Result →
65
58
3
22
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | RODRÍGUEZ Jackson | 58 |
| 4 | CHACÓN José Isidro | 63 |
| 5 | SERPA José Rodolfo | 64 |
| 6 | FIORILLI Tiago | 63 |
| 11 | OCHOA Carlos José | 62 |
| 22 | HOOGERLAND Johnny | 65 |