Data Science Tip Day#7 - Interaction Variables

This post is using interaction variables while performing linear regression

For illustration purpose lets construct some datasets with a three vectors (y,x,z)

	y = c(seq(1,200,by=2))
	x = c(seq(1,404,by=4))
	z = c(seq(100,200,by=1))
	#x*z is new interaction variable
	p = x*z
	model = lm(y~x+p)
	#Validating the model
	plot(model$fitted.values, model$residual.values)
	#Has some pattern (Failure - Not convincing representation)
	hist(model$residuals)
	#Left skewed Histogram of normal distribution (ok ok)

view raw InteractionVariable.R hosted with ❤ by GitHub

Happy Learning!!!