In simple terms, a residual is the difference between the actual result and an approximation. It represents what is left after subtracting the approximation from the actual value. The residual can be calculated even if the exact value is unknown, while the error cannot be determined without knowing the exact value.
UC Berkeley
Fall 2022
UC Berkeley's course blends inferential thinking, computational thinking, and real-world relevance, offering students hands-on analysis of real-world datasets. It covers critical concepts in computer programming, statistical inference, privacy, and study design.
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