{"blocks": [{"key": "e9b3bbc3", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "a6b9d2be", "text": "Statistical considerations when analysing linear regression output and goodness-of-fit tests.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "5963d6f8", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "96afb17b", "text": "If every observation in a linear-regression dataset is duplicated, how do the coefficient estimates and their standard errors change? Explain mathematically. In practical terms, what does a p-value represent and what common misinterpretations should be avoided? How does a very large sample size influence a chi-square test, and what penalty or adjustment can keep results interpretable?", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "501d4468", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "503ce562", "text": "Recall that estimates stay the same but SE scales with √n; discuss effect size vs. significance.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}