Test Multiple Linear Regression Assumptions in R Rstudio Check Diagnostic | Tutorial Data Science

Are Linear Model assumptions met? How to test and check Multiple Linear Regression analysis?
We'll discuss and answer various questions:

- Preparing data for fitting a model
- Split data intro train and test data
- Build the model with functions
- Check models performance with Caret Package
- What is linearity? Normality? Equality of variance? Homoscedasticity?
- Identify outliers, high influence values, cook distance?
- Residuals and their relationship with fitted or predicted values?
- What is coefficient of determination? mean squared error? R2
- overfitting and leverage

Any comment or suggestion is welcome
Contact: [email protected]
Twitter : https://twitter.com/raulvaleriom

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#Learn #Rstudio #R #Regression #Linear python from zero #beginner #Learning
## Statistical analysis ## Factor, vector, list, jupyter, notebook
## input and output # data mining #Machine learning and supervised learning
#Diagnostic #Assumptions #Normality #Homokedasticity #Variance