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

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