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 = 1.2 * weight - 62
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Guamá
4
61 kgCarapaz
9
62 kgÁlvarez
17
60 kgBonilla
23
73 kgRagonessi
27
67 kg
4
61 kgCarapaz
9
62 kgÁlvarez
17
60 kgBonilla
23
73 kgRagonessi
27
67 kg
Weight (KG) →
Result →
73
60
4
27
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | GUAMÁ Byron | 61 |
| 9 | CARAPAZ Richard | 62 |
| 17 | ÁLVAREZ Miguel Luis | 60 |
| 23 | BONILLA José Adrián | 73 |
| 27 | RAGONESSI José | 67 |