QQuestionStatistics
QuestionStatistics
"SSE can never be
A. larger than SST
B. smaller than SST
C. equal to 1
D. equal to zero"
5 months agoReport content
Answer
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Step 1Let me solve this step by step, focusing on the statistical concept of Sum of Squared Errors (SSE) and Total Sum of Squares (SST).
Step 2: Understanding SSE and SST
- SSE (Sum of Squared Errors) measures the total deviation of predicted values from actual observed values - SST (Total Sum of Squares) measures the total variance in the dependent variable
Final Answer
SSE can NEVER be larger than SST. The key insight is that SSE represents a portion of the total variation (SST), so it cannot exceed the total variation.
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