Predicting entrepreneur’s income status using logistic regression: a case study of GIATMARA incubator program / Sharifah Nurnajwa Syed Mashor

Syed Mashor, Sharifah Nurnajwa (2013) Predicting entrepreneur’s income status using logistic regression: a case study of GIATMARA incubator program / Sharifah Nurnajwa Syed Mashor. [Student Project] (Submitted)

Abstract

The entrepreneur is commonly seen as a business leader and innovator of new ideas and business processes. Entrepreneurship education is found to contribute significantly to risk-taking, the formation of new ventures, and the propensity to be self-employed. MARA has developed a program named Incubator GIATMARA Program. The program is to give an early exposure about entrepreneurship and help GIATMARA’s students become successful entrepreneurs. The research used simple random sampling and questionnaire to collect respondents. From the findings, this study found that the best method to be applied in logistic regression is enter method. Factors that influence entrepreneur’s income are number of worker that the entrepreneurs have and capital sources other than MARA.

Metadata

Item Type: Student Project
Creators:
Creators
Email / ID Num.
Syed Mashor, Sharifah Nurnajwa
2010600754
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Samian, Hilmi
UNSPECIFIED
Subjects: H Social Sciences > HB Economic Theory. Demography > Income. Factor shares
H Social Sciences > HB Economic Theory. Demography > Income. Factor shares > Profit
H Social Sciences > HB Economic Theory. Demography > Income. Factor shares > Entrepreneurship. Property
Divisions: Universiti Teknologi MARA, Kelantan > Machang Campus > Faculty of Computer and Mathematical Sciences
Programme: Bachelor of Science (Hons) Statistics
Keywords: entrepreneurship, entrepreneur, innovator, business
Date: March 2013
URI: https://ir.uitm.edu.my/id/eprint/38652
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