Perform a Likelihood Ratio Test in R

You’ve built two regression models—one simple and one more complex model. The complex one seems to have a slightly better fit, but is that improvement statistically meaningful, or just noise from the observed data? How do you prove, with statistical certainty, that the extra complexity is actually worth it?

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