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 = -0.3 * weight + 34
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Chumil
2
62 kgGuamá
3
61 kgRivera
6
56 kgMcGeough
14
76 kgPrado
25
65 kgParra
33
51 kg
2
62 kgGuamá
3
61 kgRivera
6
56 kgMcGeough
14
76 kgPrado
25
65 kgParra
33
51 kg
Weight (KG) →
Result →
76
51
2
33
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CHUMIL Sergio Geovani | 62 |
| 3 | GUAMÁ Byron | 61 |
| 6 | RIVERA Kevin | 56 |
| 14 | MCGEOUGH Cormac | 76 |
| 25 | PRADO Ignacio de Jesús | 65 |
| 33 | PARRA Heiner Rodrigo | 51 |