![]() 7.5 Model Specification for Multiple Regression.7.4 Confidence Sets for Multiple Coefficients.7.3 Joint Hypothesis Testing using the F-Statistic.7.2 An Application to Test Scores and the Student-Teacher Ratio.7.1 Hypothesis Tests and Confidence Intervals for a Single Coefficient.7 Hypothesis Tests and Confidence Intervals in MR Models.6.5 The Distribution of the OLS Estimators in Multiple Regression.Simulation Study: Imperfect Multicollinearity.6.4 OLS Assumptions in Multiple Regression.6.3 Measures of Fit in Multiple Regression.6 Regression Models with Multiple Regressors. ![]() 5.6 Using the t-Statistic in Regression when the Sample Size Is Small.Computation of Heteroskedasticity-Robust Standard Errors.Should We Care About Heteroskedasticity?.A Real-World Example for Heteroskedasticity.5.4 Heteroskedasticity and Homoskedasticity.5.3 Regression when X is a Binary Variable.5.2 Confidence Intervals for Regression Coefficients.5.1 Testing Two-Sided Hypotheses concerning the Slope Coefficient.5 Hypothesis Tests and Confidence Intervals in SLR Model.4.5 The Sampling Distribution of the OLS Estimator.Assumption 3: Large Outliers are Unlikely.Assumption 2: Independently and Identically Distributed Data. ![]()
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