Analysis of GDP using the n-variable Regression Model

Purpose: Gross Domestic Product(GDP) depends on Agriculture, Service, and industry performance. The main aim of the study is to assess relationship between dependent variable GDP Independent variables agriculture, industry, service sector by using n-variable Regression Model at initial condition. Design/Methodology/Approach: an application condition analyze situation along with reasons not becoming zero even after secondary data Nepal from Central Bureau Statistics 10 years till 2019/20 has been analyzed. By finding cofactors correlation coefficient matrix, Mean standard deviation individual establish linear independent variable. Findings/Result: Under conditions, if all zero, −751028.431 billion, negative sign shows that decreases highly entire major factor no role in GDP. It non-zero means 11th year stated amount will be expended previous saving for forex import which possible a sustainable economy. real conditions however it may hypothetical either because impact informal economy or disinvestment net exports. significant forecasting future country effectively assuming different policy formulation. Originality/Value: first empirical research Analysis. Paper Type: Analytical Policy Research