In short: it’s the percentage of variation of the outcome variable affected by your predictor variable.
It’s a good measure of how influential your predictor variable of your model is of your outcome variable. When you take 1-R2, that gives you unexplained variance, which is comprised of additional factors outside your model that are additionally affecting the outcome variable.
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