TITLE:
Binary Logistic Models of Home Ownership in Wukari Nigeria
AUTHORS:
Joseph Uchenna Okeke, Evelyn Nkiruka Okeke, Yeshak Victor Dakhin
KEYWORDS:
Binary, Logistic Model, Multicollinear Data, Principal Component Analysis, Stepwise Regression, Logit Model, Home Ownership
JOURNAL NAME:
Open Journal of Statistics,
Vol.10 No.1,
January
19,
2020
ABSTRACT: The study is on the Binary logistic models of home ownership among civil servants in Wukari,
Nigeria. The data used is of primary source using questionnaires. The multicollinear data, as well as the
reduced data using the Principal component analysis and the stepwise regression
methods to determine the factors that chiefly account for home ownership, were x-rayed. Four components were selected out of six
namely grade level of respondent, cadre of institution of service of respondent, family size of respondent and age
of respondent. The four components
selected accounted for 87.78 percent of the variation and four variables were
selected from them. The logit model for home
ownership status is obtained from the selected variables. Test for the
adequacy of the model was carried out using the count R2 which
indicates how useful the explanatory variables are in predicting the response
variables and can be referred to as measures of effect size. In testing the significance of each of the factors only Age of respondent is significant in determining variability
in the home Ownership Model.