Hello Md. Hasnain Ahamad,

In general, R-squared from ANOVA may be interpreted as the amount of variance in the dependent variable (DV) that is explained by the independent variable (IV). In regression models, the "adjusted" R-squared is an estimation of the explanatory power (of IV on DV) that is adjusted for upward bias (and is influenced by the relative size of number of IVs relative to number of cases, N) in hopes of being a better guess of the population value.

Good luck with your work.