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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: inforvstats@gmail.com Twitter : / raulvaleriom Standardized coefficients & Multiple Linear Regression in R Rstudio Influence Tutorial Data Science: • Standardized coefficients & Multiple Linea... Detect and eliminate Multicollinearity in Multiple Linear Regression in R • Detect and eliminate Multicollinearity in ... Full Tutorial Box Cox Transformation in R | Apply Logarithm in Linear Regression | Machine Learning: • Full Tutorial Box Cox Transformation in R ... Cleaning and importing excel file in R: • 2.2 Cleaning and importing excel files in ... Reading excel files with R code as well as other options. Removing and dropping columns and observations in the Dataframe Renaming columns and observations with colnames and rownames Read and import xlsx excel file in R: • 2.1 Read and import xlsx excel file in R /... Statistics and data science Course in R • R Tutorial | Rstudio How to detect White Noise in time series with R | Test Simulate Plot Data Tutorial Data Analyisis: • How to detect White Noise in time series w... How to determine if my data is white noise How to simulate white noise in R / Rstudio ggplot2 in R: Data visualization for categorical var with geom_bar and geom_col barplot barchart| Tutorial Rstudio: • Data visualization for categorical Var wit... RADAR or BARPLOT which one to use? Spider web | Intro Data Visualization Tutorial Rstudio R Science Tutorial course in Python • Python tutorial More Python videos and machine learning • Python Random Walk and Time Series Tutorial in R: ACF Dickey Fuller Test Ljung Box stationarity correlation: #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