45
Table 4.9 Autocorrelation
Model Summary
b
Model R
R Square Adjusted R
Square Std. Error of the
Estimate Durbin-Watson
1 .901
a
.811 .783
7.84257 1.333
a. Predictors: Constant, Inflation, Current_Ratio, Activity_Ratio, Debt_Ratio b. Dependent Variable: Profitability_Ratio
From the results obtained above output value of DW generated from the regression model is 1.333. While the DW table by 0.05
and the number of data n = 32, k = 4 k is the number of independent variables obtained value dU dL at 1.24 and 1.65.
Because the value of DW 1,333 are in the area between dL and dU, it does not produce definitive conclusions.
c. Hypothesis Test 1
F-test
F test measures the significance of independent variable CR, AR, DR, INFLATION in affecting dependent variables PR. The
output of F test can be show below:
Table 4.11 F-test
ANOVA
a
Model Sum of Squares
df Mean Square
F Sig.
Regression 7126.950
4 1781.738
28.969 .000
b
Residual 1660.659
27 61.506
Total 8787.610
31 a. Dependent Variable: PR
b. Predictors: Constant, INFLATION, CR, AR, DR
From the table above, can be formulated hypotheses for his fifth goal as follows:
46 Ho: CR, AR, DR, INFLATION does not have a significant effect on
PR Ha: CR, AR, DR, INFLATION has a significant effect on PR
Basic Decision
Sig Alpha, then Ho is accepted Sig Alpha, then Ha accepted
Decision
Sig = 0.000 Alpha = 0.05
Then, the Sig Alpha, Ho accepted
Result
Through testing the significance of the above, it can be concluded that CR, AR, DR, INFLATION has a significant effect on PR
2 t-Test Table 4.12 t-Test
Coefficients
a
Model Unstandardized
Coefficients Standardized
Coefficients t
Sig. Correlations
Collinearity Statistics
B Std.
Error Beta
Zero- order
Parti al
Part Tolerance VIF
1 Constant
-47,047 9,652
4,87 4
,000 CR
,494 1,339
,032 ,369 ,715 -,168 ,071 ,031
,947 1,056 AR
2,859 2,463
,116 1,16
1 ,256
,077 ,218 ,097 ,702 1,425
DR 42,457
10,738 ,443
3,95 4
,000 ,773 ,606 ,331
,558 1,791 INFLATION
947,176 180,568 ,594
5,24 6
,000 ,783 ,710 ,439
,545 1,835 a. Dependent Variable: PR
From the above table, it can be concluded hypothesis testing as follows:
a For the purpose of CR
Ho: CR does not have a significant effect on PR Ha: CR has a significant effect on PR
47
Basic Decision
Sig Alpha, then Ho is accepted Sig Alpha, then Ha accepted
Decision
Sig = 0.715 Alpha = 0:05
Then, the Sig Alpha, Ho accepted
Result
Through testing the significance of the above, it can be concluded that the CR does not have a significant effect on PR.
b For the purpose of AR
Ho: AR does not have a significant effect on PR Ha: AR has a significant effect on PR
Basic Decision
Sig Alpha, then Ho is accepted Sig Alpha, then Ha accepted
Decision
Sig = 0.256 Alpha = 0:05
Then, the Sig Alpha, Ho accepted
Result
Through testing the significance of the above, it can be concluded that the AR did not have a significant effect on PR.
c For the purpose of DR
Ho: DR does not have a significant effect on PR
48 Ha: DR has a significant effect on PR
Basic Decision
Sig Alpha, then Ho is accepted Sig Alpha, then Ha accepted
Decision
Sig = 0.000 Alpha = 0:05
So, Sig Alpha, Ha accepted
Result
Through testing the significance of the above, it can be concluded that the DR has a significant effect on PR.
d For the purpose of Inflation
Ho: Inflation does not have a significant effect on PR Ha: Inflation has a significant effect on PR
Basic Decision
Sig Alpha, then Ho is accepted Sig Alpha, then Ha accepted
Decision
Sig = 0.000 Alpha = 0:05
So, Sig Alpha, Ho accepted
Result
Through testing the significance of the above, it can be concluded that Inflation has a significant effect on PR.
49
d. Regression Equation
