Examlex
Please define the following key terms. Show Who? What? Where? When? Why Important?
-Immanuel Kant
Sum of Squares for Regression
The sum of squares for regression quantifies the variation explained by the regression model, comparing the fitted values against the mean of the dependent variable.
SSR
Stands for Sum of Squares due to Regression, which measures the variation explained by the regression line in the context of statistical analysis.
Simple Linear Regression
A statistical method for examining the linear relationship between two quantitative variables; one variable is used to predict the outcome of another.
Probabilistic Model Equation
A mathematical representation of a statistical model that incorporates randomness and accounts for the probability of various outcomes.
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