Multiple Linear Regression, Correlation Coefficients

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Show that the value of ry_hat,y = ( ry,x1 + ry,x2 +…+ ry,xp)^1/2 if the predictors are pair-wise uncorrelated and rx,y represents the correlation coefficient of x and y. y_hat is the collection of estimated y values of the dataset.