Linear Regression Using R session 89
This video is part of 89 of R programming full tutorials for beginners. And more focus of this video is put on linear regression in R programming.
Simple linear regression
Polynomial regression
Multiple linear regression
Multiple linear regression with interactions
Assessing normality assumption for linear regression in R
Test for independence of errors in linear regression in R
Test for linearity of regression in R
Test for homoscedasticity of regression in R
Test of Multicollinearity in regression with R
Test of outliers in linear regression using R
Test of High-leverage points in linear regression using R
Test of Influential observations in linear regression using R
Power transforation of variables in linear regression using R
Comparing nested models in linear regerssion using ANOVA with R
Stepwise regression for variable selection
All subsets regression for variable selection
Cross-validation in regression using R
Relative importance of variables in regression using standardized regression coefficients
Relative importance of variables in regression using relative weights
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