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Regression Assumptions
Conditions that must be met for the regression analysis results to be valid, including linearity, independence, homoscedasticity, and normality of residuals.
F Distribution
A probability distribution that arises in the testing of whether two population variances are equal and in the analysis of variance (ANOVA) for comparing means among more than two groups.
Coefficient of Multiple Determination
A statistic that quantifies the proportion of variance in the dependent variable that is predictable from the independent variables, commonly used in multiple regression analysis.
Regression Equation
An equation derived in regression analysis that represents the expected value of the dependent variable as a function of one or more independent variables.
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