9.2 Threats to Internal Validity of Multiple Regression Analysis.9 Assessing Studies Based on Multiple Regression.8.4 Nonlinear Effects on Test Scores of the Student-Teacher Ratio.8.3 Interactions Between Independent Variables.8.2 Nonlinear Functions of a Single Independent Variable.8.1 A General Strategy for Modelling Nonlinear Regression Functions.7.6 Analysis of the Test Score Data Set.Model Specification in Theory and in Practice.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 Multiple Regression.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.
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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.
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