LevelUp CFA
Multiple Regression
đ Quantitative Methods - Reading 1
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describe the assumptions underlying the multiple linear regression model.
formulate and interpret a multiple regression equation.
interpret the coefficients and the overall fit of a multiple regression.
formulate a null and an alternative hypothesis about a population regression coefficient, calculate the value of the test statistic, and determine whether to reject the null hypothesis.
interpret the results of hypothesis tests of regression coefficients.
calculate and interpret a predicted value for the dependent variable, and a prediction interval for it, given the estimated regression model and values for the independent variables.
explain the use of a joint hypothesis test and interpret the results of the F-test.
interpret the adjusted R-squared and select the best model among different multiple regression models.
formulate and interpret a regression model with qualitative independent variables.
describe the different types of multiple regression models.
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