ISLR Linear Regression
This app is based on 'An Introduction to Statistical Learning' the purpose is to explore the exercises and bring them to the front end of web development via shiny.
the Boston data set, which records medv (medianhouse value) for 506 neighborhoods around Boston. We will seek to predict medv using 13 predictors such as rm (average number of rooms per house), age (average age of houses), and lstat (percent of households with low socioeconomic status).
Show Boston Data Summary
Select regression type:
Simple (1 predictor, lstat)
Multiple (2 predictors, lstat + age)
Multiple (13 predictors, ALL predictors)
Custom (SELECT predictors for regression)
Nonlinear (2 predictors, lstat + lstat^2)
Interaction (2 predictors, lstat * age)
Polynomial (degree 5, lstat^5)
Log (rm)
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