The Study on of University Library Lending Prediction Model based on Linear Regression Analysis
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.
University Library Prediction Model Linear Regression Analysis
Su Xuemei
Hebei Normal University of Science & Technology,Hebei QinHuangDao 066004
国际会议
成都
英文
1711-1715
2011-07-15（万方平台首次上网日期，不代表论文的发表时间）