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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.
The r-squared ranges between 0 and 1, with 1 indicating the highest degree of predictive power and 0 meaning that there is no detectable relationship. In the case of the gold-interest rate correlation over the last decade, Erb told me in an interview, the r-squared is a very high 0.78.