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  Published Paper Details:

  Paper Title

Identification and Construction of Best Linear Model using Adjusted Squared R

  Authors

  Rajesh Anand,  Khadar Babu SK

  Keywords

regression, linear regression, the coefficient of determination, squared R

  Abstract


In big data analytics, the major problem is to select and identification of best linear model for prediction and forecasting of future observations with effect from the studied in a particular area of concerned applications. Data analytics plays a vital role on the analysis of big data for different parameters study. The present paper shows that to identify and make a best linear regression model using adjusted squared R for more parameter study. The data collected from the different patients suffering from different chronic diseases with several parameters.The methodology adopted for model building and model validation is squared R and adjusted squared R. Usually squared R is useful for all types of the models but some cases if more parameters are involved in the model applied adjusted squared R. For model building, used OLS and MLE methods for estimation of the parameters.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2311235

  Paper ID - 246254

  Page Number(s) - b994-b997

  Pubished in - Volume 11 | Issue 11 | November 2023

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Rajesh Anand,  Khadar Babu SK,   "Identification and Construction of Best Linear Model using Adjusted Squared R", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 11, pp.b994-b997, November 2023, Available at :http://www.ijcrt.org/papers/IJCRT2311235.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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