LINEAR REGRESSION FOR IMPLEMENTATION OF TWO VARIABLE DATA

Nugroho, Bonaventura Dwi Yulianto (2016) LINEAR REGRESSION FOR IMPLEMENTATION OF TWO VARIABLE DATA. Other thesis, Unika Soegijapranata Semarang.

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Abstract

Linear regression analysis in statistics is one of the methods to determine the causal relationship between one variable with variables (variables) to another. The function of the linear regression itself is to become a tool to analyze where to measure and analyze or no correlation between variable and can see the growth between variable in time we want. To make a more accurate linear regression is performed, in addition to also calculate the correlation graphs and to give an overview of the results of linear regression from data that has been entered. Problems often encountered is still difficult to understand with the result that a number without any graph that displays the results of calculations of linear regression and testing again to get accurate results. Therefore this study wants to make the program graph linear regression as well as the research hope the program can see growth between variables in more detail and accuracy. In addition to the graph showing the results of the analysis of data is tested. Keywords : Linear Regression, Regression Books

Item Type:	Thesis (Other)
Subjects:	000 Computer Science, Information and General Works 000 Computer Science, Information and General Works > 005 Computer programming, programs & data
Divisions:	Faculty of Computer Science > Department of Informatics Engineering
Depositing User:	Mr Ignatius Eko Budi Setiono
Date Deposited:	30 Mar 2017 06:07
Last Modified:	23 Nov 2022 02:30
URI:	http://repository.unika.ac.id/id/eprint/13026

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