完整後設資料紀錄
DC 欄位 | 值 | 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.author | Jiang, Yang | |
dc.contributor.author | Mao, Ke-Ying | |
dc.contributor.author | Lee, Hsuan-Cheng | |
dc.contributor.author | Su, Kuan-Hao | |
dc.date | 106學年度第一學期 | |
dc.date.accessioned | 2018-04-27T08:54:37Z | |
dc.date.accessioned | 2020-07-30T07:37:41Z | - |
dc.date.available | 2018-04-27T08:54:37Z | |
dc.date.available | 2020-07-30T07:37:41Z | - |
dc.date.issued | 2018-04-27T08:54:37Z | |
dc.date.submitted | 2018-04-27 | |
dc.identifier.other | D0571973, D0572056, D0565664, D0565677 | |
dc.identifier.uri | http://dspace.fcu.edu.tw/handle/2377/31794 | - |
dc.description.abstract | Abstract 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.tableofcontents | Table 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.extent | 22p. | |
dc.language.iso | en | |
dc.rights | openbrowse | |
dc.subject | multicollinearity | |
dc.subject | model selection | |
dc.subject | outlier detection | |
dc.subject | regression analysis | |
dc.subject | residual analysis | |
dc.title | What Affects Property Rent at San Jose? | |
dc.type | UndergraReport | |
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 |
文件中的檔案:
檔案 | 描述 | 大小 | 格式 | |
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D0571973106159.pdf | 980.43 kB | Adobe PDF | 檢視/開啟 |
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