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 = 4.5 * weight - 261
This means that on average for every extra kilogram weight a rider loses 4.5 positions in the result.
Diaz
2
61 kgGuamá
8
61 kgCastaño
9
66 kgRojas
10
58 kgRodas
43
68 kgMédici
50
70 kgRagonessi
70
67 kg
2
61 kgGuamá
8
61 kgCastaño
9
66 kgRojas
10
58 kgRodas
43
68 kgMédici
50
70 kgRagonessi
70
67 kg
Weight (KG) →
Result →
70
58
2
70
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DIAZ Daniel | 61 |
| 8 | GUAMÁ Byron | 61 |
| 9 | CASTAÑO Erick | 66 |
| 10 | ROJAS Juan Carlos | 58 |
| 43 | RODAS Manuel | 68 |
| 50 | MÉDICI Matías | 70 |
| 70 | RAGONESSI José | 67 |