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 = 0.9 * weight - 39
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Chumil
6
62 kgGuamá
8
61 kgParra
11
51 kgRivera
19
56 kgPrado
27
65 kgMcGeough
34
76 kg
6
62 kgGuamá
8
61 kgParra
11
51 kgRivera
19
56 kgPrado
27
65 kgMcGeough
34
76 kg
Weight (KG) →
Result →
76
51
6
34
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | CHUMIL Sergio Geovani | 62 |
| 8 | GUAMÁ Byron | 61 |
| 11 | PARRA Heiner Rodrigo | 51 |
| 19 | RIVERA Kevin | 56 |
| 27 | PRADO Ignacio de Jesús | 65 |
| 34 | MCGEOUGH Cormac | 76 |