TITLE:
Simple and Multi Linear Regression Model of Verbs in Quran
AUTHORS:
Abdelkrim El Mouatasim
KEYWORDS:
Linear Regression, Text Mining, Quran Statistics, Matlab, Arabic Grammar, Optimization, Computation Linguistics
JOURNAL NAME:
American Journal of Computational Mathematics,
Vol.8 No.1,
March
16,
2018
ABSTRACT: This paper mainly presented a good simple and multi-linear regression model of verbs in the Quran book.
This model, gives an analysis for the influence to frequency of words with the
form (—un, ---) made by the frequency of plural
present verbs (t—un, ---) or (y—un, ---), and models, and the relationship
between independent variables and dependent variable by fitting a linear
equation to the observed data with simple linear regression model. The matlab
function is used for finding the
parameters of the linear regression model and plotting the fits. The results
show that the parameters of the model are one
vector (1, 1) and mean of dataset is (6, 7). Its corresponding to the verb with input is frequency
of the verb they enter and the frequency of enter (yadkolun dakilun),
also other 17 points exist in the line and in the dataset of 387 verbs and
their derivate verbs in Quran. The name of Allah () showed when we use tree
variables and plot it in 3D with option “Show Text” for a multi
regression model.