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 - 7
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Gil Martinez
1
60 kgChacón
2
63 kgGálviz
3
65 kgLinares
6
80 kgGodoy
9
64 kg
1
60 kgChacón
2
63 kgGálviz
3
65 kgLinares
6
80 kgGodoy
9
64 kg
Weight (KG) →
Result →
80
60
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GIL MARTINEZ Tomas Aurelio | 60 |
| 2 | CHACÓN José Isidro | 63 |
| 3 | GÁLVIZ Carlos Johan | 65 |
| 6 | LINARES Carlos Daniel | 80 |
| 9 | GODOY Yonder | 64 |