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<ArticleSet>
  <Article>
    <Journal>
      <PublisherName>Science and Education Publishing</PublisherName>
      <JournalTitle>Journal of Business and Management Sciences</JournalTitle>
      <Issn>2333-4533</Issn>
      <Volume>3</Volume>
      <Issue>1</Issue>
      <PubDate PubStatus="epublish">
        <Year>2015</Year>
        <Month>04</Month>
        <Day>13</Day>
      </PubDate>
    </Journal>
    <ArticleTitle>A Prediction on Rice Production in India through Multivariate Regression Analysis</ArticleTitle>
    <FirstPage>26</FirstPage>
    <LastPage>31</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName>Somu</FirstName>
        <LastName>Jena</LastName>
        <Affiliation>Department of Business Administration Utkal University, Bhubaneswar India-751004</Affiliation>
      </Author>
    </AuthorList>
    <ArticleIdList>
      <ArticleId IdType="pii">JBMS2015314</ArticleId>
      <ArticleId IdType="doi">10.12691/jbms-3-1-4</ArticleId>
    </ArticleIdList>
    <History>
      <PubDate PubStatus="received">
        <Year>2015</Year>
        <Month>03</Month>
        <Day>10</Day>
      </PubDate>
      <PubDate PubStatus="revised">
        <Year>2015</Year>
        <Month>04</Month>
        <Day>02</Day>
      </PubDate>
      <PubDate PubStatus="accepted">
        <Year>2015</Year>
        <Month>04</Month>
        <Day>13</Day>
      </PubDate>
    </History>
    <Abstract>In this paper an extensive study is carried out to estimate the rice production in India based on current and historical data. The significant factors studied are land used, irrigation and production respectively. To study the strength of interdependence between the factors and estimation of production multivariate correlation analysis and regression analysis have been applied. To predict the future production of rice different time series techniques have been studied for better comparison. To facilitate the entire study and maintain quality, consistency and accuracy of data SPSS- 20.0 version software is used.</Abstract>
  </Article>
</ArticleSet>