Abstract:
Companies are currently rich in huge amounts of data but are weak in
information extracted from data. This massive data is a valuable resource.
Although the concept of big data is still new, many international
companies are relying on it to make strategic decisions.
This study examined the regression analysis, which is part of Multivariate
Analysis, which was an implemented step method on real data and the
efficiency of the regression analysis when increasing the size of the
sample tested, The importance of this study is to compare the method of
statistical analysis, keep in mind the optimal use of available resources in
computers such as Random-Access memory (RAM) and processor speed
to reach the results to be the best in terms of time spent on analysis after
confirmation of the validity of the steps involved in getting the prediction.
The study used the descriptive statistical approach to describe the study
variables, and the analytical statistical approach to obtain the study results
using the SPSS20, WEKA programs.
The aim of the study was to make a comparison between the WEKA
program indicators and the SPSS package to determine which of them is
efficient in large samples.
The study concluded that using WEKA software because gives better
results than using SPSS program.
And Increasing the sample size increases the efficiency of the WEKA
program indicators compared with the SPSS program indicators when
large samples.
The study recommends to using the weka program in the case of large
samples because it is more efficiency in prediction parameters compared
with the SPSS program indicators in the same parameters.
