3.3.1 Experimental Data Analysis
Experimental data analysis makes use of statistical methods and tools for data evaluation and useful to give overall report trend. It also tells how well a range of data points fit a regression model. Several tests and calculations were necessary to prove how adequate a model is in describing the system.
Analysis of experimental data is appropriate when the fit summary, model and analysis of variance (ANOVA) are statistically significant and adequate in describing the extent to which the response depends on factor variable. Optimization of process parameters was made viable from the response surface plot gotten from analysis of data.
Table 3.4 Model Fit Summary