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 + 91
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
Rojas
3
58 kgMédici
4
70 kgRagonessi
7
67 kgCastaño
8
66 kgRodas
8
68 kgGuamá
13
61 kgDiaz
47
61 kg
3
58 kgMédici
4
70 kgRagonessi
7
67 kgCastaño
8
66 kgRodas
8
68 kgGuamá
13
61 kgDiaz
47
61 kg
Weight (KG) →
Result →
70
58
3
47
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | ROJAS Juan Carlos | 58 |
| 4 | MÉDICI Matías | 70 |
| 7 | RAGONESSI José | 67 |
| 8 | CASTAÑO Erick | 66 |
| 8 | RODAS Manuel | 68 |
| 13 | GUAMÁ Byron | 61 |
| 47 | DIAZ Daniel | 61 |