R-Square, huh? I remember learning about that in my statistics class. It's a pretty important metric for evaluating the goodness of fit of a regression model. 0.5671 seems like a reasonable answer, but I better verify it against the formula just to be sure.
Okay, let's see... The R-Square value is the coefficient of determination, which measures the proportion of the variance in the dependent variable that is predictable from the independent variable(s). Hmm, I think 0.5671 looks about right. Let me double-check my work.
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