Model Summary
Model
R
R Square
.493a
1
proceed for this hypothesis. We believe from
looking at the table above that the model is
significant because there appears to be a
"strong" two-way interaction between
variables.
Adjusted R
Square
.243
Std. Error of the
Estimate
.219
.40493
a. Predictors: (Constant), Family Characteristics and SelfEfficacy
b. Dependent Variable: Academic Achievement
Coefficients
R²= 0.219
Based on the Table above, the adjusted coefficient
of determination or also known as R represents the
value of .493. The score indicate that 49.3% of the
changes in the dependent variable (student
achievement) can be explained by the independent variables (Family and Self-efficacy). The R
Square value is 0.243 (24.3%) show the relationship
between the dependent and independent variables for this study. For this study it can be consider
there is a relationship between dependent and independent variables.
ANOVA
Model
Unstandardized
Coefficients
B
1
(Constant
)
SelfEfficacy
Family
Characteri
stics
Std.
Error
Standardiz
ed
Coefficient
s
Beta
t
Sig.
1.162
.365
3.18
2
.002
-.013
.092
-.013 -.137
.891
.319
.085
3.76
2
.000
.351
Table 8: Coefficients
Model
Regression
1
Sum of
Squares
df
Mean
Square
5.049
3
1.683
Residual
15.741
96
.164
Total
20.790
99
F
Sig.
10.2
64
.000b
a. Dependent Variable: dv1
Table 7: ANOVAa
From the table 4.3.2 above, the p-value = 0.00< α
=0.05. So we can conclude that the model is
adequately fit. Model is significant and can
33
Based on the table 4.3.3, the beta value for
family characteristics is .308 which is significant at the .001 level. The beta value for selfefficacy is -0.13 which is not significant at
0.891 levels.