set.seed(ENTER_YOUR_ID)

y<- round(runif(20, 2, 9), 3)

x1<- round(y*25*(1-runif(20, -0.7, 0.7)), 3)

x2<- c(rep("East", 5), rep("West", 5), rep("North", 5), rep("South", 5))

x3<- round(y*(1-runif(20, -0.5, 0.5)), 3)

For the purpose of the exam, the generated variables represent the following:

y - "selling price of a house in 2021" in 100,000 USD

x1 - "square footage" in sq. m.

x2 - "location within the city - East/West/North/South"

x3 - "selling price of a house in 2020" in 100,000 USD

Note: ID number that needs to be entered- 02514

1. SLR/MLR

a) Display the generated values (they should be copied from R/RStudio). You could run the following code to do that

print(y)

print(x1)

print(x2)

print(x3)

b) First, briefly discuss what the main difference between simple and multiple linear regressions is and comment on what the type variables y, x1, x2, x3 are