Regression Analysis Fully Explained. Data Science Introduction

In this video we look at: 1. Correlation 2. Sample Correlation 3. Linear Regression Model 4. Goodness of fit 5. Slope Parameter 6. Prediction and Mean Response 7. Residual Analysis 8. Transformation 9. Multiple Linear Regression Y = a + bx + e Course Content 1) Exploratory Data Analysis 2) Probability Theory 3) Random Variables 4) Distributions 5) Generating Functions 6) Joint Distributions 7) Conditional Expectations 8) CLT 9) Sampling & Inference 10) Point Estimation 11) Confidence Intervals 12) Hypothesis Testing 13) Regression and Correlation 14) ANOVA For exams: Exam P CS1 Formerly CT3 ----------------------------- Let's Keep in Contact ----------------------------- Hit the subscribe button if you would like to see more on Youtube. Join our Actuarial Science Community on Facebook - https://bit.ly/2AyCN1p MJ’s Udemy courses - https://bit.ly/2AyCUtR MJ's awesome website - https://www.mjactuary.com -----------------------------