I'm leaning towards C because I recall something about residuals needing to follow a normal distribution, but I could be mixing it up with another concept.
Hmm, I'm leaning towards option B. The sum of the residuals being zero seems like a core property of a valid regression model. Let me double-check the other choices.
I'm pretty confident on this one. The key is that a valid regression model doesn't require all the standardized residuals to be within 3 standard deviations. That's just a general guideline, not a requirement.
Okay, let me think this through step-by-step. I need to identify the issue with the original code and then determine which of the options will fix it. I'll start by looking at the first code fragment and see if I can spot the problem.
Honestly, I'm just hoping the answer is 'all of the above'. That way, I can cover all my bases and still get it right. Regression is like a box of chocolates, you never know what you're gonna get.
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