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 = 3.4 * weight - 200
This means that on average for every extra kilogram weight a rider loses 3.4 positions in the result.
Guamá
1
61 kgDiaz
2
61 kgCastaño
10
66 kgRagonessi
11
67 kgRojas
19
58 kgRodas
41
68 kgMédici
62
70 kg
1
61 kgDiaz
2
61 kgCastaño
10
66 kgRagonessi
11
67 kgRojas
19
58 kgRodas
41
68 kgMédici
62
70 kg
Weight (KG) →
Result →
70
58
1
62
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUAMÁ Byron | 61 |
| 2 | DIAZ Daniel | 61 |
| 10 | CASTAÑO Erick | 66 |
| 11 | RAGONESSI José | 67 |
| 19 | ROJAS Juan Carlos | 58 |
| 41 | RODAS Manuel | 68 |
| 62 | MÉDICI Matías | 70 |