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An extension of two-variable regression to include one response variable and multiple predictors
Multiple Regression
Estimate of the ith level ofa cateorical predictor in multiple regression
βi coefficient
Correlation among predictor variables which can complicate model estimations
Collinearity
R2 = 1 - Var(e)/Var(y)
R-squared Equation
Correction for bias in R-squared due to number of predictors; Radj2 = 1 - [se2/(n-k-1)]/[sy2/(n-1)]
Adjusted R-squared