完整後設資料紀錄
DC 欄位語言
dc.contributor.author江洋
dc.contributor.author毛可穎
dc.contributor.author蘇冠豪
dc.contributor.author李絃成
dc.contributor.authorJiang, Yang
dc.contributor.authorMao, Ke-Ying
dc.contributor.authorLee, Hsuan-Cheng
dc.contributor.authorSu, Kuan-Hao
dc.date106學年度第一學期
dc.date.accessioned2018-04-27T08:54:37Z
dc.date.accessioned2020-07-30T07:37:41Z-
dc.date.available2018-04-27T08:54:37Z
dc.date.available2020-07-30T07:37:41Z-
dc.date.issued2018-04-27T08:54:37Z
dc.date.submitted2018-04-27
dc.identifier.otherD0571973, D0572056, D0565664, D0565677
dc.identifier.urihttp://dspace.fcu.edu.tw/handle/2377/31794-
dc.description.abstractAbstract This paper examines the various factors influencing property rent at San Jose. The study uses multiple regression to investigate ten variables and adopts forward selection, backward elimination, stepwise regression, Mallow’s Cp, and Adjust-R² to select the best model. Our findings suggest that an increase in the internal conditions of the property such as the number of beds and baths has positive effects on the rent. Geographical factors also have various influences on the rent, as the findings reveal that rent declines when the property is closer to San Jose State University, and overall rent for San Jose decreases with an increase in the longitude. Furthermore, rent for houses located in the community is higher than for non-community houses.
dc.description.tableofcontentsTable of Content ABSTRACT 2 1. INTRODUCTION 4 2. METHOD 4 2.1 DATA DESCRIPTION 4 2.2 BASIC STATISTICS 5 2.3 PLOTS 6 2.4 CORRELATION MATRIX 12 2.5 FULL MODEL 13 2.6 OUTLIERS AND INFLUENTIAL POINT DETECTION 14 2.7 MODEL SELECTION 14 2.8 ADDITIONAL TREATMENT 16 2.9 VERIFY FOUR ASSUMPTIONS 17 3. RESULTS 19 4. DISCUSSION 20 4.1 STUDENT SAFETY 20 4.2 AMOUNT CAN SAVE BY LIVING OFF-CAMPUS 20 5. CONCLUSION 21 REFERENCES 23
dc.format.extent22p.
dc.language.isoen
dc.rightsopenbrowse
dc.subjectmulticollinearity
dc.subjectmodel selection
dc.subjectoutlier detection
dc.subjectregression analysis
dc.subjectresidual analysis
dc.titleWhat Affects Property Rent at San Jose?
dc.typeUndergraReport
dc.description.course數據分析
dc.contributor.department商學大數據分析雙學士學位學程, 國際科技與管理學院
dc.description.instructor陳婉淑
dc.description.programme商學大數據分析雙學士學位學程, 國際科技與管理學院
分類:國106學年度

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