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 * weight + 14
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Ramirez
5
69 kgMontoya
6
64 kgAlmonacid
7
60 kgVargas
8
69 kgMaldonado
20
61 kgGarrido
23
68 kgSepulveda
26
66 kg
5
69 kgMontoya
6
64 kgAlmonacid
7
60 kgVargas
8
69 kgMaldonado
20
61 kgGarrido
23
68 kgSepulveda
26
66 kg
Weight (KG) →
Result →
69
60
5
26
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | RAMIREZ Brayan Steven | 69 |
| 6 | MONTOYA Javier Ignacio | 64 |
| 7 | ALMONACID Patricio | 60 |
| 8 | VARGAS Walter | 69 |
| 20 | MALDONADO Anderson Samuel | 61 |
| 23 | GARRIDO Gonzalo | 68 |
| 26 | SEPULVEDA Luis Fernando | 66 |