Multiple Linear Regression

Goal is to build a Multiple Linear Regression Model in R or excel

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).