R Deep Learning Cookbook

How to do it...

Let's take a look at linear regression in supervised learning:

1. Let's begin with a simple example of linear regression where we need to determine the relationship between men's height (in cms) and weight (in kgs). The following sample data represents the height and weight of 10 random men:

data <- data.frame("height" = c(131, 154, 120, 166, 108, 115,158, 144, 131, 112), "weight" = c(54, 70, 47, 79, 36, 48, 65,63, 54, 40))

2. Now, generate a linear regression model as follows:

lm_model <- lm(weight ~ height, data)

3. The following plot shows the relationship between men's height and weight along with the fitted line:

plot(data, col = "red", main = "Relationship between height andweight",cex = 1.7, pch = 1, xlab = "Height ...