Module 19.2: Measures of Fit in Linear Regression Reading 19: Regression with Multiple Explanatory Variables Module 18.2: Ordinary Least Squares Estimation Module 16.2: Estimating Moments of the Distribution Module 16.1: Estimating Mean, Variance, and Standard Deviation Module 15.4: Independent and Identically Distributed Random Variables Module 15.3: Behavior of Moments for Bivariate Random Variables Module 15.2: Moments of Bivariate Random Distributions Module 15.1: Marginal and Conditional Distributions for Bivariate Distributions Reading 15: Multivariate Random Variables Module 14.3: Student’s t, Chi-Squared, and F-Distributions Module 14.2: Normal and Lognormal Distributions Module 14.1: Uniform, Bernoulli, Binomial, and Poisson Distributions Reading 14: Common Univariate Random Variables Module 13.3: Probability Density Functions, Quantiles, and Linear Transformations Module 13.2: Mean, Variance, Skewness, and Kurtosis Module 13.1: Probability Mass Functions, Cumulative Distribution Functions, and Expected Values Module 12.2: Conditional, Unconditional, and Joint Probabilities Learning Objectives and Reading Assignments
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