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 = 1.4 * weight - 68
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Guamá
1
61 kgCastaño
2
66 kgRojas
13
58 kgRodas
22
68 kgMédici
26
70 kgDiaz
31
61 kgRagonessi
50
67 kg
1
61 kgCastaño
2
66 kgRojas
13
58 kgRodas
22
68 kgMédici
26
70 kgDiaz
31
61 kgRagonessi
50
67 kg
Weight (KG) →
Result →
70
58
1
50
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUAMÁ Byron | 61 |
| 2 | CASTAÑO Erick | 66 |
| 13 | ROJAS Juan Carlos | 58 |
| 22 | RODAS Manuel | 68 |
| 26 | MÉDICI Matías | 70 |
| 31 | DIAZ Daniel | 61 |
| 50 | RAGONESSI José | 67 |