https://www.casualinf.com/tags/linear-regression/ Recent content in linear regression on Casual Inference Hugo -- gohugo.io Thu, 07 Jan 2021 00:00:00 +0000 https://www.casualinf.com/post/2021-01-07-linear-regression-on-coffee-rating-data/ Thu, 07 Jan 2021 00:00:00 +0000 https://www.casualinf.com/post/2021-01-07-linear-regression-on-coffee-rating-data/ While I am reading Elements of Statistical Learning, I figured it would be a good idea to try to use the machine learning methods introduced in the book. I just finished a chapter on linear regression, and learned more about linear regression and the penalized methods (Ridge and Lasso). Since there is an abundant resource available online, it would be redundant to get into the details. I’ll quickly go over Ordinary Least Squares, Ridge, and Lasso regression, and quickly show an application of those methods in R. https://www.casualinf.com/post/first-post/ Sun, 17 Jun 2018 00:00:00 +0000 https://www.casualinf.com/post/first-post/ This is the first blog post of my life! I will be using this blog to post about anything that I want to share in statistics. For starter, I will run a linear regression with the iris dataset. names(iris) ## [1] "Sepal.Length" "Sepal.Width" "Petal.Length" "Petal.Width" "Species" Let’s predict Sepal.Length with Petal.Length and Petal.Width. #separate into training and testing sets set.seed(1234) train_ind <- sample(nrow(iris), floor(0.8 * nrow(iris))) iris_train <- iris[train_ind,] iris_test <- iris[-train_ind,] #run linear regression iris_lm <- lm(Sepal.