{"call_id":"call_266c281d","run_id":"20261015T165911Z-suite-paper_repro-baseline-8b4f85/paper_repro.stock_watson_caschool.ch5_str.tool/e1a1","step":"analysis","kind":"tool","name":"infer.ols","version":"0.1.0","code_version":"62cdbe0860ad","inputs":{"dataset":"caschool","y":"testscr","x":["str"],"controls":[],"fe":[],"cluster":null,"se":"HC1","weights":null,"subset":null,"intercept":true,"level":0.95},"input_digest":"664fe60ac5b79c10ef512fa210311ea1fd21fe88d4920d929c455ebf88e3e2fa","dataset_digests":{"caschool":"bcde4818bfe3a91ac2a79e27a21e90c7ea258921b02fffe83f56764a05da8dae"},"result":{"tool":"infer.ols","version":"0.1.0","call_id":"call_266c281d","status":"ok","reason":"","figures":[{"key":"coef.str","value":-2.279808287023488,"unit":"","label":"Coefficient on str in the regression of testscr","se":0.5194892447934012,"ci_low":-3.3009451593604013,"ci_high":-1.258671414686575,"ci_level":0.95,"derivation":{"steps":[{"text_pt":"Coeficiente de str na regressão por mínimos quadrados ordinários de testscr.","formula":"","terms":[{"symbol":"n","value":420.0,"unit":"observações","note":""},{"symbol":"k","value":2.0,"unit":"parâmetros","note":""}],"result":-2.279808287023488,"unit":""},{"text_pt":"Erro-padrão robusto à heterocedasticidade (HC1): a raiz da variância estimada do coeficiente.","formula":"ep = √V_jj","terms":[{"symbol":"V_jj","value":0.2698690754560183,"unit":"","note":"diagonal da matriz de covariância"}],"result":0.5194892447934012,"unit":""},{"text_pt":"Intervalo de 95% de confiança: a estimativa mais ou menos o valor crítico da distribuição t de Student com 418 graus de liberdade vezes o erro-padrão.","formula":"IC = β ± c · ep","terms":[{"symbol":"β","value":-2.279808287023488,"unit":"","note":""},{"symbol":"c","value":1.965655463652602,"unit":"","note":"quantil 0.975"},{"symbol":"ep","value":0.5194892447934012,"unit":"","note":""}],"result":null,"unit":""}],"note_pt":""}}],"diagnostics":[{"name":"n_obs","value":420,"flag":false,"note":"observations used"},{"name":"k","value":2,"flag":false,"note":"parameters estimated, fixed-effect dummies included"},{"name":"r2","value":0.051240095079615466,"flag":false,"note":""},{"name":"df_resid","value":418,"flag":false,"note":""},{"name":"se_type","value":"HC1","flag":false,"note":"heteroskedasticity-robust standard errors (HC1)"},{"name":"n_clusters","value":null,"flag":false,"note":"errors not clustered"}],"tables":{"coefficients":[{"term":"Intercept","coef":698.9329523279793,"se":10.36435988577555,"t":67.43619094964292,"p":9.486678042314946e-227,"ci_low":678.5601916912427,"ci_high":719.3057129647158},{"term":"str","coef":-2.279808287023488,"se":0.5194892447934012,"t":-4.388557241315282,"p":0.000014467373099026792,"ci_low":-3.3009451593604013,"ci_high":-1.258671414686575}]},"datasets":{},"warnings":[],"assumptions":["the conditional mean of the outcome is linear in the regressors","errors are independent across observations; their variance may differ"],"notes":""},"outputs":null,"output_digest":"243004c557f37e85b65d01e3644d89726db9211f6f803934f310e5393a9113a1","params_versions":[],"sources":[],"started_at":"2026-10-15T16:59:23.270303Z","duration_ms":12.577916029840708,"error":null,"decided_by":"code","rationale":"","cached":false,"informed_by":[],"model":null,"prompt":null,"response":null,"tokens_in":null,"tokens_out":null,"meta":{}}