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 = -1.4 * weight + 103
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
Cárdenas
2
59 kgSevilla
3
62 kgGuamá
7
61 kgArdila
11
58 kgRamirez
13
69 kgPedraza
21
58 kgSoliz
35
58 kgTorres
36
56 kg
2
59 kgSevilla
3
62 kgGuamá
7
61 kgArdila
11
58 kgRamirez
13
69 kgPedraza
21
58 kgSoliz
35
58 kgTorres
36
56 kg
Weight (KG) →
Result →
69
56
2
36
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CÁRDENAS Félix Rafael | 59 |
| 3 | SEVILLA Óscar | 62 |
| 7 | GUAMÁ Byron | 61 |
| 11 | ARDILA Mauricio Alberto | 58 |
| 13 | RAMIREZ Brayan Steven | 69 |
| 21 | PEDRAZA Wálter Fernando | 58 |
| 35 | SOLIZ Óscar | 58 |
| 36 | TORRES Rodolfo Andrés | 56 |