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# What could go wrong? – Heteroskedasticity – Multicollinearity – Latent variables # Usin

Model: $Y = \theta_0^* + \theta_1^* X_1 + \cdots + \theta_m^* X_m + \text{noise}$ We obtain estimate, $\hat

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Notation Key Vectors: boldface Scalars: normal font X₂: second data record X₂: second component of dataset

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Introduction I have been using Tailscale for some time now(roughly 2 years), I think it’s really impr