It has been made endeavors to explain the variation in exports via regression model in the present paper. These variations are explained by G.N.I. and N.N.I. in India from 2005-06 to 2019-20, using some statistical tools like Multiple Regression, R Squared, adjusted R Squared, Standard Error, ANOVA and t-test. In this paper, on account of empirical analysis the results found that the relationship between value of GNI and value of exports is positive. The greater the GNI, the higher the value of exports. The coefficient of 0.109320617 indicates, on average, an additional one crore increase in GNI the value of exports raised by Rs.0.1093 crore or Rs.10.93 Lakhs. Similarly, the relationship between value of NNI and value of exports is also positive. Similarly,larger the NNI, the higher the value of exports. The coefficient of 0.122317 indicates, on average, an additional one crore increase in NNI the value of exports rose by Rs. 0.122317 crore or Rs.12.23 Lakhs.