Linear and Logarithmic Models of Monthly Incomefor Food and Transportation Budgets

Sari, Evi Thelia and Larasati, Devita Dea Galuh and Shanti, Serlina Nur (2020) Linear and Logarithmic Models of Monthly Incomefor Food and Transportation Budgets. IOSR Journal of Business and Management (IOSR-JBM), 22 (7). pp. 1-8. ISSN 2278-487X

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Official URL: http://iosrjournals.org

Abstract

Background: Purpose of The Study: to find out the correlation and estimation of food and transportation budgets based on monthly income. Materials and Methods: The quantitative methodology in this study used correlation, partial correlation and curve estimation analysis methods. Which means comparing between variable X (income) with variable Y, Y1 (Food Budget) and Y2 (Transportation Budget). The data were collected from 100 respondents who are workers with monthly income, regardless their marital status and ages. All data is processed by using SPSS V.21. Results: The correlation results in this study show a greater correlation between the income and food budget than income and transportation budget. Partial correlation with the control variable shows the same value of correlation between income and the two variables, food budget and transportation budget. Using the estimation curve as linear model, the food budget has positive value related to income, while logarithmic model shows the negative estimation between monthly income and food budget. The estimation curve of the transportation budget show the negative estimation either linear or logarithmic models.

Item Type:	Article
Uncontrolled Keywords:	Income, budget, correlation, estimation
Subjects:	Manajemen
Depositing User:	Unnamed user with email lib.stiemahardhika@gmail.com
Date Deposited:	22 Jan 2022 08:25
Last Modified:	22 Jan 2022 08:25
URI:	http://repository.stiemahardhika.ac.id/id/eprint/2580

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