Regresi Kuantil_Riset Sosial

Data yang digunakan :

library(readxl)
data=read_excel("C:/Users/ASUS/Downloads/Data olah Scopus.xls")
View(data)

Hasil Regresi

summary (regresi)

## 
## Call:
## lm(formula = Y1 ~ Y2 + X1 + X2 + X3 + X4, data = data)
## 
## Residuals:
##    Min     1Q Median     3Q    Max 
## -61.68 -20.16  -3.79  15.84 321.34 
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept) -26.6168    17.1349  -1.553    0.121    
## Y2           26.5627     1.1950  22.227   <2e-16 ***
## X1            0.5184     0.6079   0.853    0.394    
## X2           -0.8324     0.6109  -1.363    0.174    
## X3           -0.2081     0.3887  -0.535    0.593    
## X4            0.2441     0.2870   0.851    0.395    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 35.24 on 451 degrees of freedom
## Multiple R-squared:  0.6915, Adjusted R-squared:  0.6881 
## F-statistic: 202.2 on 5 and 451 DF,  p-value: < 2.2e-16

Hasil Regresi Kuantil

summary(k1)

## Warning in rq.fit.br(x, y, tau = tau, ci = TRUE, ...): Solution may be nonunique

## Warning in rq.fit.br(x, y, tau = tau, ci = TRUE, ...): Solution may be nonunique

## Warning in rq.fit.br(x, y, tau = tau, ci = TRUE, ...): Solution may be nonunique

## 
## Call: rq(formula = Y1 ~ Y2 + X1 + X2 + X3 + X4, tau = c(0.05, 0.1, 
##     0.25, 0.5, 0.75, 0.9), data = data)
## 
## tau: [1] 0.05
## 
## Coefficients:
##             coefficients lower bd upper bd
## (Intercept) -5.85682     -8.34470  0.67108
## Y2           5.94164      2.92192  8.99536
## X1           0.01952     -0.28194  0.10485
## X2          -0.03830     -0.12537  0.29563
## X3           0.10466     -0.42623  0.50319
## X4           0.05281     -0.04834  0.19517
## 
## Call: rq(formula = Y1 ~ Y2 + X1 + X2 + X3 + X4, tau = c(0.05, 0.1, 
##     0.25, 0.5, 0.75, 0.9), data = data)
## 
## tau: [1] 0.1
## 
## Coefficients:
##             coefficients lower bd upper bd
## (Intercept) -6.92716     -8.91074 -0.92155
## Y2           6.89140      4.20259  9.09762
## X1           0.02130     -0.22798  0.18381
## X2          -0.03366     -0.21020  0.18763
## X3           0.14383     -0.05607  0.52514
## X4           0.04759     -0.05603  0.11361
## 
## Call: rq(formula = Y1 ~ Y2 + X1 + X2 + X3 + X4, tau = c(0.05, 0.1, 
##     0.25, 0.5, 0.75, 0.9), data = data)
## 
## tau: [1] 0.25
## 
## Coefficients:
##             coefficients lower bd  upper bd 
## (Intercept)  -7.01840    -12.52741  -1.20448
## Y2            7.96178      5.45742  10.08627
## X1            0.09200     -0.10584   0.27879
## X2           -0.18896     -0.41495  -0.00088
## X3            0.43949     -0.02047   0.67794
## X4           -0.00920     -0.10444   0.19154
## 
## Call: rq(formula = Y1 ~ Y2 + X1 + X2 + X3 + X4, tau = c(0.05, 0.1, 
##     0.25, 0.5, 0.75, 0.9), data = data)
## 
## tau: [1] 0.5
## 
## Coefficients:
##             coefficients lower bd  upper bd 
## (Intercept)  -7.14985    -13.59491   3.27988
## Y2           10.37077      8.48625  12.89670
## X1            0.20181     -0.15516   0.36910
## X2           -0.23782     -0.44348   0.08730
## X3            0.94403      0.13761   1.19630
## X4           -0.21620     -0.46387   0.19465
## 
## Call: rq(formula = Y1 ~ Y2 + X1 + X2 + X3 + X4, tau = c(0.05, 0.1, 
##     0.25, 0.5, 0.75, 0.9), data = data)
## 
## tau: [1] 0.75
## 
## Coefficients:
##             coefficients lower bd upper bd
## (Intercept) -0.52604     -1.06703 -0.19888
## Y2          20.97117     18.75919 23.21102
## X1           0.01468      0.00248  0.03365
## X2          -0.01676     -0.03705 -0.00300
## X3           0.22190      0.01918  0.80380
## X4          -0.04404     -0.13498  0.00306
## 
## Call: rq(formula = Y1 ~ Y2 + X1 + X2 + X3 + X4, tau = c(0.05, 0.1, 
##     0.25, 0.5, 0.75, 0.9), data = data)
## 
## tau: [1] 0.9
## 
## Coefficients:
##             coefficients lower bd upper bd
## (Intercept)  0.00000      0.00000  0.00000
## Y2          35.33333     31.73780 37.59672
## X1           0.00000      0.00000  0.00000
## X2           0.00000      0.00000  0.00000
## X3           0.00000     -0.92205  1.70846
## X4           0.00000      0.00000  0.00000