Goal is to build a Multiple Linear Regression Model in R.

Please take the screenshots of the outputs from each step and include in the word document. Explain the Outputs in each step as per your understanding.

1. data(iris) # load iris data
2. head(iris) # peek at the data
3. unique(iris$Species) # look at unique species
4. plot(iris[1:4]) # Scatterplot matrix
5. x <- iris$Petal.Length
6. y <- iris$Petal.width
7. model <- lm(y ~ x) # simple linear regression model
8. lines (

x = iris$Petal.Length,

y = model$fitted,

col = red

lwd = 3)

9. cor (

x = iris$Petal.Length,

y = iris$Petal.Width) # Get Correlation Coefficient

10. summary (model) # Summarize the Model
11. predict (

object = model,

newdata = data.frame(x = c(2,5,7)))

12. Now add one more variable to your Model and repeat the steps from 5 to 11. (Multiple Linear Regression Model).