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Finding N and R-Squared in Multiple linear regression model

For an estimated egression of the form:

Yi = b0 + b1X1 + b2X2 + ei for i=1…N where b0 b1 and b2 are all OLS esimators

And given the following:

a matrix BETA containing the estimators

the var-cov(BETA)

the standard error of the regression

How can I use this information to calculate the R-Squared and the Number of observations?

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