Multiple Linear Regression is a statistical technique used to model the relationship between one dependent variable and two or more independent variables. It extends simple linear regression by considering multiple predictors, allowing for more accurate predictions and insights into how each independent variable impacts the dependent variable.
► E-BOOK
https://datatab.net/statistics-book
► Example data
https://datatab.net/statistics-calculator/regression/linear-regression-calculator?example=regression_medical
► Regression Calculator
https://datatab.net/statistics-calculator/regression/linear-regression-calculator
► Playlist:
1) What is a Regression Analysis?
https://youtu.be/-JTKf-a1JpU
2) What is Simple Linear Regression?
https://youtu.be/gPfgB4ew3RY
3) What is Multiple Linear Regression?
This Video
4) What is Logistic Regression?
https://youtu.be/Ax5kqLHls-I
► Tutorials:
Regression Analysis
https://datatab.net/tutorial/regression
Linear Regression
https://datatab.net/tutorial/linear-regression
Logistic Regression
https://datatab.net/tutorial/logistic-regression
00:00 What is a Multiple Linear Regression?
1:22 What is the difference between Simple Linear and Multiple Linear Regression?
2:25 What is the equation of Multiple Linear Regression?
4:10 What are the assumptions of a Multiple Linear Regression?
12:31 Example for a Multiple Linear Regression.
12:58 How to calculate a Multiple Linear Regression?
13:28 How to interpret a Multiple Linear Regression?
14:00 How to interpret the Regression Coefficients?
16:28 How to interpret the p-Value in a Multiple Linear Regression?
17:05 How to interpret R and R2 in a Multiple Linear Regression?
20:27 What are Dummy Variables?
25:39 What is a Logistic Regression?