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 = 2.6 * weight - 128
This means that on average for every extra kilogram weight a rider loses 2.6 positions in the result.
Diaz
1
61 kgCastaño
23
66 kgRagonessi
32
67 kgGuamá
39
61 kgRojas
42
58 kgRodas
55
68 kgMédici
71
70 kg
1
61 kgCastaño
23
66 kgRagonessi
32
67 kgGuamá
39
61 kgRojas
42
58 kgRodas
55
68 kgMédici
71
70 kg
Weight (KG) →
Result →
70
58
1
71
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DIAZ Daniel | 61 |
| 23 | CASTAÑO Erick | 66 |
| 32 | RAGONESSI José | 67 |
| 39 | GUAMÁ Byron | 61 |
| 42 | ROJAS Juan Carlos | 58 |
| 55 | RODAS Manuel | 68 |
| 71 | MÉDICI Matías | 70 |