Ames, Iowa: Alternative to the Boston Housing Data as an End of Semester Regression Project

被引：60

作者：

De Cock, Dean ^{[1
]}

机构：

[1] Truman State Univ, 100 E Normal St, Kirksville, MO 63501 USA

来源：

JOURNAL OF STATISTICS EDUCATION | 2011年 / 19卷 / 03期

关键词：

Multiple Regression; Linear Models; Assessed Value; Group Project;

D O I：

10.1080/10691898.2011.11889627

中图分类号：

G40 [教育学];

学科分类号：

040101 ; 120403 ;

摘要：

This paper presents a data set describing the sale of individual residential property in Ames, Iowa from 2006 to 2010. The data set contains 2930 observations and a large number of explanatory variables (23 nominal, 23 ordinal, 14 discrete, and 20 continuous) involved in assessing home values. I will discuss my previous use of the Boston Housing Data Set and I will suggest methods for incorporating this new data set as a final project in an undergraduate regression course.

引用

页数：15

共 7 条

[1]

[Anonymous], 2005, APPL REGRESSION ANAL

[2]

[Anonymous], 2011, LOCAL GOVT GIS WEB

[3]

ASA, 2005, GUID ASS INSTR STAT

[4] HEDONIC HOUSING PRICES AND DEMAND FOR CLEAN-AIR [J].

HARRISON, D ;

RUBINFELD, DL .

JOURNAL OF ENVIRONMENTAL ECONOMICS AND MANAGEMENT, 1978, 5 (01) :81-102

[5]

Neter J., 1990, APPL LINEAR STAT MOD

[6] Modeling Home Prices Using Realtor Data [J].

Pardoe, Iain .

JOURNAL OF STATISTICS EDUCATION, 2008, 16 (02)

[7] A random sample of Wake County, North Carolina residential real estate plots [J].

Woodard, Roger ;

Leone, Jason .

JOURNAL OF STATISTICS EDUCATION, 2008, 16 (03)

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