Sum of Squared Error (SSE) measures the dispersion between actual and predicted values of the dependent...
Sum of Squared Error (SSE) measures the dispersion between actual and predicted values of the dependent variable.
true or false
Homework Answers
TRUE.
[ explanation:-
Sum of squares (SS) is used to identify the dispersion of data.
in regression there are three sum of squares : SSE, SST, SSR
SSE is defined as the sum of squared errors..i.e, sum of the squared deviations between the observed and predicted values.
]
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Round your answer to three decimal places.
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