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“THE FACTORS THAT AFFECT HOUSING PRICE IN AMES, IOWA”BY: AINIL AFIQAH BT MOHD HAMDAN, AUWATIF BT U-UDEEB MAHFOUZ JAZOULY, NUR HAYATUL NISAB BT MAT SARIP

FACULTY SCIENCE COMPUTER AND MATHEMATICSKAMPUS UITM KOTA BHARU

INTRODUCTION

We found our data in the Journal of Statistics Education - Data Archive.

This data set contains information from the Ames Assessor’s Office used in computing assessed values for individual residential properties sold in Ames, Iowa from 2006 to 2010.

The data has 9 column which include 3 nominal and 6 continuous variables.

RESEARCH OBJECTIVES

METHOD OF ANALYSIS

DESCRIPTIVE STATISTIC

In order to conduct this project, we have set several objectives:

1.To study the correlation between the variables and Sales Price.2.To identify if there is relationship between dependent variable and independent variables.3.To check the significance of the model.4.To check model adequacy: normality, homogeneity of error variance and independence assumption. 5.To check the existence of multicolinearity.6.To find the best model.7.To compare group means between zoning 2 and zoning 4.

SOURCE OF DATASET

CORRELATION PROCEDURE

MULTIPLE LINEAR REGRESSION

MULTICOLLINEARITY

THE FINAL MODEL WITH DUMMY

BACKWARD ELIMINATION STEPWISE REGRESSION

ONE-WAY ANOVA

COMPARING TWO MEANS (TTEST )

CONCLUSION

Based on the result, it can conclude that our data is normally distributed. For normality, independence and homogeneity of error variance assumptions are all satisfied. Since our data are normally distributed, we can proceed all type of parametric tests.

 Based on the result also we found that there are several factors that significantly affect the sale price. There are zoning, lot area, first floor, garage area, living area, kitchen quality and building type.