REGRESSION ANALYSIS APPLIED IN PREDICTION PROBLEMS USING AN ITERATIVE PROGRAM
DOI:
https://doi.org/10.18011/bioeng2010v4n1p12-23Keywords:
Least Squares method, Regression analysis, graphical interfaceAbstract
This paper presents a Regression analysis by Least Squares method that aims to predict an outcome from a sequence of known data. Matlab software is used to create graphical interface making the program more iterative for the user. The program also assists in the resolution of the system of linear equations of the method of Least Squares. An example of applying the method of Least Squares is in exercises of prevision, i.e., we can predict what will be the population of a country in a year later. This is done by collecting data that have already been measured and from this data, obtain a function (1st or 2nd degree) to pass as close as possible to the known points. Once obtained this function, just give a future value (year) and get the image of this point (the population). An observation to be made, is to find the most appropriate function to be used, since it is this function that will pass as close as possible to the known points. This work is done by the scatter diagram which aims to discover what function is more suitable for use.
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