{"blocks": [{"key": "61df1332", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "952ade1a", "text": "Voleon DS tech round: fitting a linear regression to study variable relationships in financial data.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "62efb8d0", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "7150a631", "text": "Fit an OLS model with target as dependent variable and all other columns as predictors. Report each beta, interpret their economic meaning, and describe how you would sequentially test the marginal contribution of each feature.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "774b4b31", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "74278f26", "text": "Use statsmodels OLS, look at summary(), t-stats, adjusted R², and nested F-tests or stepwise.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}