{"parts":[{"text":"**Checking the Regression Results**\n\nOkay, let's take a look at these results. The coefficient for `format_ol` is coming in at -4.91222, which is\u2026 interesting. And the standard error, using HC1, is 1.76679. Based on this, the 95% confidence interval is [-8.39495, -1.42949].\n\nBut wait a minute, I should always be careful. What if the default standard error isn't what I expect it to be? Given my experience, I'm almost certain `infer.ols` defaults to HC1 for standard errors, but let's just confirm that OLS with classical standard errors also agrees. It's always good to be thorough and cross-check, just in case there's something sneaky going on under the hood that might have tripped me up. Let me specify `se=\"classical\"` and see what we get.\n\n\n","thought":true},{"text":"I will run the regression with classical standard errors to check the default versus homoskedastic standard errors."},{"function_call":{"args":{"dataset":"online_classroom","se":"classical","subset":"format_blended == 0","x":["format_ol"],"y":"falsexam"},"id":"call_620743","name":"infer__ols"},"thought_signature":"EsoDCscDAWkUfRNGaerOfZZCK3X5tsTpUktDJSbsIVCo10d6zeI2sBP-6PGh42VTO_-DQFUqTUZC-BHESVcOGTu43RMRx0pwQX6d8MgPMkyVqOBzBOIiq8PDgfITRT3yTGWexYj1fKCoaCSm7ZRfGJ7vW05Sto7mYx0Ewv6ZueRbXCmJ8ff0jhQYb5iL40mgKxMuoHs8eRoOJgCv1-CaPwWjQPzblEeqlZgnDWKmxsiND_TEQpqrVWmk8XnAjGCopUTiiZROgUxbVTA7qyaSd6moqSgyMfjOKKV0JTpW-8XY-QBxDc7qUx0WRfEJiFYjmSdP-O5cZjBR_mr3Rz99l91T1g0AQxz51NXfFjF6av8je9Jqk1Xy5unwy1_UjguYtGiE0m3jFUQ9nUwcdl5L7_N0dCieHbuKvnIhydlKKfIRwLsSvYoQsWqc6kpmG05TNlD_i3GSC21WFq7Y9kpG9LzU22H-xTNDtHtEXkQagGXYrxeoJ_yicQMhzhaZRESI4Q0PFYD_6Nt4U4oHS8Qg5cX1mpYnkKOBRsC34JKyVHHbvZP69zK1NFjD4YKKUxsspaojMMZZzD5lZXplcwEsjIvue6ROyHDNh5zpkAY="}],"role":"model"}