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Regression analysis of Philippines economy inflation rate / by Jahaziel M. Titular.

By:

Titular, Jahaziel M [author]

Contributor(s):

Botin, Paul Vincent E [adviser]

Material type: Text

TextLanguage: English Publication details: Indang, Cavite : 2016. Cavite State University- Main Campus,Description: x, 40 pages : 28 cm. illustrations ; Content type:

text

Media type:

unmediated

Carrier type:

volume

Subject(s):

DDC classification:

515 T54 2016

Online resources:

Click here to view thesis abstract and table of contents

Production credits:

College of Arts and Science (CAS)

Abstract: TITULAR, JAHAZIEL MONTANCES, Regression Analysis of Philippine Economy Inflation Rate, Bachelor of Science in Applied Mathematics (with Specialization in Statistics), Cavite State University, Indang, Cavite, Adviser: Mr. Paul Vincent E. Botin This study was conducted to determine the trend of inflation rate from 19732013, determine the possible predictors through Pearson-correlation, develop a regression model to predict the inflation using the population, unemployment rate, GDP, importation of goods, exportation of goods, total trade and labor force as independent variables, test the accuracy and adequacy of the model and lastly, predict the rate of inflation trend. The study used secondary data namely Population, Unemployment Rate, Gross Domestic Product (GDP), Importation of Goods, Exportation of Goods, Total Trade and Labor Force which is gathered from the Philippines Statistics Authority. The Multiple Linear Regression Analysis was utilized in the study. The best model for the predicting of inflation rate was formulate, given by the equation j exp [0.046 + 0.062 - 0.000005597 x61where exportation of goods, importation of goods and total trade are the predictor variables in the model. The predicted value of inflation rate is 158.245. Therefore, government agency that holds the exportation, importation or the trading system of the Philippines should find a way to strengthen the system that should not compromise the growth of inflation rate for the anguishes of Filipino citizen.

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Title notes ( 5 )

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Item type	Current library	Collection	Call number	Materials specified	URL	Status	Notes	Date due	Barcode
Theses / Manuscripts	Ladislao N. Diwa Memorial Library Theses Section	Non-fiction	515 T54 2016 (Browse shelf(Opens below))		Link to resource	Room use only	T-6199		00010025

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Thesis (BS Applied Mathematics) Cavite State University

Includes bibliographical references.

College of Arts and Science (CAS)

TITULAR, JAHAZIEL MONTANCES, Regression Analysis of Philippine Economy Inflation Rate, Bachelor of Science in Applied Mathematics (with Specialization in Statistics), Cavite State University, Indang, Cavite, Adviser: Mr. Paul Vincent E. Botin

This study was conducted to determine the trend of inflation rate from 19732013, determine the possible predictors through Pearson-correlation, develop a regression model to predict the inflation using the population, unemployment rate, GDP, importation of goods, exportation of goods, total trade and labor force as independent variables, test the accuracy and adequacy of the model and lastly, predict the rate of inflation trend.

The study used secondary data namely Population, Unemployment Rate, Gross Domestic Product (GDP), Importation of Goods, Exportation of Goods, Total Trade and Labor Force which is gathered from the Philippines Statistics Authority.

The Multiple Linear Regression Analysis was utilized in the study. The best model for the predicting of inflation rate was formulate, given by the equation j exp [0.046 + 0.062 - 0.000005597 x61where exportation of goods, importation of goods and total trade are the predictor variables in the model.

The predicted value of inflation rate is 158.245. Therefore, government agency that holds the exportation, importation or the trading system of the Philippines should find a way to strengthen the system that should not compromise the growth of inflation rate for the anguishes of Filipino citizen.

Submitted copy to the University Library. 02/14/2017 T-6199