2020 10 15 Linear Regression 1 Basic Definitions Simple Linear Regression and Ordinary Least Square 53e953bec520

2020 10 18 Linear Regression 2 Properties of the Residuals and the ANOVA e1d423dd09dc

2020 10 23 Linear Regression 3 Distribution of the SLR Estimators SLR Measures and Python Implementation 72fc6d14ba7d

2020 10 26 Linear Regression 4 SLR Prediction and Diagnosis of SLR Model 8d905b5c5135

2020 10 31 Linear Regression 5 MLR Hat Matrix and MLR OLS Evaluation b91eeebca210

2020 10 31 Linear Regression 6 Sum of Squared Errors Sum of Squares and Type 1 2 3 ANOVA for MLR f489146c14f8

2020 11 07 Linear Regression 7 MLR Inference Adjusted R Square for MLR Dummy Encoding and One Hot Encoding eac625c9312b

2020 11 07 Linear Regression 8 Python for SLR MLR 221df22687df

2020 11 16 Linear Regression 9 Model Diagnosis Process for MLR Part 1 205c1f71d581

2020 11 21 Linear Regression 10 Model Diagnosis Process for MLR Part 2 733ca5e99437

2020 11 21 Linear Regression 11 Python for MLR Model Diagnosis Part 1 2 6695ee1e7880

2020 11 24 Linear Regression 12 Model Diagnosis Process for MLR Part 3 a4fa4e870952

2020 11 24 Linear Regression 13 Python for MLR Model Diagnosis Part 3 e57fd40b71da

2020 12 06 Linear Regression 14 Logistic Regression Logit and Probit Regression a69a0778f97d

2020 12 06 Linear Regression 15 Logistic Regression Inference 13d1027d2353

2020 12 08 Linear Regression 16 Python for Logistic Regression b92073d9084e

2020 12 08 Linear Regression 17 Final Review a938c7b2968d