Regression analysis of the economic factors of the gross domestic product in the Philippines

Abstract

The researchers intends to formulate a mathematical model Philippines, as well as identify some of its factors. GDP is considered as the dependent variable while there are seven independent variables namely Capital Formation, Total Trade, Interest Rate, Inflation Rate, Unemployment Rate, make use of the quarterly time series data of the eight variables from 1995 to 2016. Applying multiple linear regression, only Capital Formation, Total Trade, Interest Rate, Exchange Rate and Unemployment Rate are found modelformulated using normal estimation equation by means of matrices, the said factors can explain GDP by 93 percent, and there is no significant difference between the actual and predicted values obtained through the model according to the result of Paired T

Keywords: Paired t-Test; GDP; Normal Estimation Equation; Mathematical Model; Multiple
Linear Regression.