Use of Artificial Neural Network in Determination of Shade, Light Curing Unit, and Composite Parameters’ Effect on Bottom/Top Vickers Hardness Ratio of Composites

Table 3

Three-way ANOVA results to compare the dependent variable B/T VHN ratios for the fixed factors of three different composite resins, four different LCUs and five different shades and their interactions at a significance level of 0.05.

Dependent Variable:    Bottom/top ratio
Source	Type III Sum of Squares	df	Mean Square	F	Sig.
Corrected Model	28014,147	27	1037,561	7,354	,000
Intercept	1213334,731	1	1213334,731	8600,098	,000
Composite	3076,818	1	3076,818	21,808	,000
Shade	491,862	3	163,954	1,162	,328
LCU	9541,274	3	3180,425	22,543	,000
Composite Shade	8,443	1	8,443	,060	,807
Composite LCU	5660,444	3	1886,815	13,374	,000
Shade LCU	1404,585	9	156,065	1,106	,364
Composite Shade LCU	312,873	3	104,291	,739	,531
Error	15801,388	112	141,084
Total	1257150,267	140
Corrected Total	43815,536	139

a: R Squared =  ,639 (Adjusted R Squared =  ,552).