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The value of R square would not decrease when more variables are added to the model. As a result, there is always a temptation to add more variables in the model, because of which problem can arise therefore in that case Adjusted R2 is used as a measure.
R square values in regression shows the total variation explained in the regression and also show how good fit the model is. The higher value of R square shows that variables included in the line are good. I do not know how excel gives regression. Better to regression analysis. May be due to round of figures at various steps gives different values