Akademik Veri Yönetim Sistemi
I. INTERNATIONAL APITHERAPY AND NATURE CONGRESS, Nakhchivan, Azerbaycan, 1 - 03 Haziran 2023, cilt.1, sa.1, ss.48-56
Abstract
Regression Analysis is the most popular method that determines the relationship between an
independent variable and more than one dependent variable with a mathematical function. In
the regression analysis, the parameters are usually calculated by the Least Squares Method
(Least Squares) Method. In general, the regression equation created according to the parameters
is solved with the SPSS package program and the model coefficients are determined. However,
mismatched measures close to the random error limits in the data affect the parameter
estimation. In this context, the model to be created in the study will be solved according to the
EKK Method, and incompatible measures will be determined and removed from the data set.
Thus, parameters and mean errors will be calculated more realistically with the remaining
compatible measures. In addition, the significance of the calculated parameters will also be
tested statistically. Raw propolis composition consists of water, moisture, phenolic substances,
flavonoids, waxes, and balsam. A quality propolis should have high antioxidant capacity. In
this mathematical modeling study, the quality of propolis is calculated according to the Least
Squares Method (EKKY) method. In this preliminary study, the quality properties of propolis
were determined by mathematical modeling, taking into account the total polyphenol (TP), total
flavonoid (TF), total wax, and moisture and balsamic substance amounts were used in the 40
propolis samples from Anatolia of Turkey. In this context, operators will be able to determine
the most suitable sales price by predicting the quality of their propolis.
Keywords: Propolis, Mathematical modelling, FRAP