Dummy variables in regression are artificial variables created to represent categorical data numerically. They take binary values (0 or 1) to indicate the presence or absence of a particular category. Since regression models require numerical input, dummy variables allow categorical variables (e.g., gender, region, or product type) to be incorporated into the analysis.
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https://datatab.net/statistics-book
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https://datatab.net/statistics-calculator/regression/linear-regression-calculator?example=FuelConsumption
► Regression Calculator
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► 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?
https://youtu.be/i3IadpjctWg
4) What is Logistic Regression?
https://youtu.be/Ax5kqLHls-I
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https://datatab.net/tutorial/regression
Linear Regression
https://datatab.net/tutorial/linear-regression
Logistic Regression
https://datatab.net/tutorial/logistic-regression