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 = 1.9 * weight - 102
This means that on average for every extra kilogram weight a rider loses 1.9 positions in the result.
Cepeda
1
56 kgGuamá
2
61 kgNarváez
11
56 kgCastaño
14
66 kgPita
27
67 kgCaza
30
63 kgQuishpe
34
70 kg
1
56 kgGuamá
2
61 kgNarváez
11
56 kgCastaño
14
66 kgPita
27
67 kgCaza
30
63 kgQuishpe
34
70 kg
Weight (KG) →
Result →
70
56
1
34
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CEPEDA Jefferson Alexander | 56 |
| 2 | GUAMÁ Byron | 61 |
| 11 | NARVÁEZ Alexis David | 56 |
| 14 | CASTAÑO Erick | 66 |
| 27 | PITA Cristian David | 67 |
| 30 | CAZA Rommel Andrés | 63 |
| 34 | QUISHPE Carlos Eduardo | 70 |