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 = 2.1 * weight - 118
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
Diaz
3
61 kgGuamá
4
61 kgRagonessi
11
67 kgRojas
16
58 kgRodas
19
68 kgMédici
44
70 kg
3
61 kgGuamá
4
61 kgRagonessi
11
67 kgRojas
16
58 kgRodas
19
68 kgMédici
44
70 kg
Weight (KG) →
Result →
70
58
3
44
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | DIAZ Daniel | 61 |
| 4 | GUAMÁ Byron | 61 |
| 11 | RAGONESSI José | 67 |
| 16 | ROJAS Juan Carlos | 58 |
| 19 | RODAS Manuel | 68 |
| 44 | MÉDICI Matías | 70 |