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The Study on of University Library Lending Prediction Model based on Linear Regression Analysis

机译:基于线性回归分析的高校图书馆借阅量预测模型研究

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The library borrowing prediction will play a key role in library management.Most library management work pay more and more attention to the library borrowing, which are often mentioned in their annual report.The library borrowing predictions may also have great influence on most of the library, and the annual plan.It is found by the author, according to the data of the lending and number of library reader for simple linear regression model.Two methods of tests, such as coefficient simple determination and t test to prove that a strong linear relationship between lending, and number of the library readers.T test result is obtained through the operation function of data analysis and regression of Microsoft Excel.On this basis, according to the theory of simple linear regression analysis, obtained the prediction equations.The author introduces the calculating method of comparative and confidence interval mean library loans and prediction intervals of a single library borrowing in the upcoming year.
机译:图书馆借阅预测将在图书馆管理中发挥关键作用,大多数图书馆管理工作越来越重视图书馆借阅,这在年度报告中经常提到,图书馆借阅预测也可能对大多数图书馆产生重大影响由作者根据借阅的数据和图书馆读者的数量得出简单线性回归模型。系数简单确定和t检验等两种检验方法证明了线性很强借阅与图书馆读者人数之间的关系。通过Microsoft Excel数据分析和回归的运算函数获得T检验结果。在此基础上,根据简单线性回归分析的理论,获得了预测方程。介绍了比较和置信区间平均图书馆借贷的计算方法以及上联公司中单个图书馆借阅的预测间隔明年。

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