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 = 1.3 * weight - 55
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Diaz
1
61 kgRagonessi
2
67 kgGuamá
12
61 kgCastaño
23
66 kgRodas
37
68 kgRojas
52
58 kgMédici
64
70 kg
1
61 kgRagonessi
2
67 kgGuamá
12
61 kgCastaño
23
66 kgRodas
37
68 kgRojas
52
58 kgMédici
64
70 kg
Weight (KG) →
Result →
70
58
1
64
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DIAZ Daniel | 61 |
| 2 | RAGONESSI José | 67 |
| 12 | GUAMÁ Byron | 61 |
| 23 | CASTAÑO Erick | 66 |
| 37 | RODAS Manuel | 68 |
| 52 | ROJAS Juan Carlos | 58 |
| 64 | MÉDICI Matías | 70 |