What does SSE (Sum of Squared Errors) represent in the context of regression analysis?
Question
Solution 1
SSE (Sum of Squared Errors) represents the sum of the squared differences between the observed values and the predicted values in regression analysis. It is a measure of the overall deviation or error between the actual data points and the regression line.
To calculate SSE, follow these steps:
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