Construction of the Prediction Model of University Library Lending

Bao Sun (), Liqin Tian () and Jiangwei Feng ()
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Bao Sun: North China Institute of Science and Technology
Liqin Tian: Qinghai Normal University
Jiangwei Feng: Hebei University of Economics and Trade

A chapter in 2012 International Conference on Information Technology and Management Science(ICITMS 2012) Proceedings, 2013, pp 207-216 from Springer

Abstract: Abstract Library lending is the books which a university library has lent or the readers which a library has served in a school year. Library lending has a strong association with the number of readers. The author has investigated library lending and the number of readers of a university library in China within 18 school years. It is found by the author that the sample data of library lending and the number of readers fit the simple linear regression model. The scatter plot between library lending and the number of readers indicates that there is a linear relationship between the two variables. The result of F-test and correlation coefficient test proves that a strong linear relationship exists between library lending and the number of readers. The result of F-test is acquired by running the function of regression of data analysis of Microsoft Excel. Then Based on the theory of the simple linear regression analysis, the prediction equation is obtained. The author gives the methods of calculating confidence intervals of the mean library lending and prediction intervals of a single library lending in the school year 2011–2012.

Keywords: Simple linear regression; Library lending; The number of readers; Prediction; Confidence intervals; Prediction intervals (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-34910-2_25

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DOI: 10.1007/978-3-642-34910-2_25

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