Part II: 1. Use the dataset from the fma library in R called "motel". The dataset contains information about motel occupancies in Australia. library(dplyr) library(forecast) library(tidyverse) library(tsibble] library(fpp3) library(fma) data( motel) a. Convert the dataset into a tsibble (use this throughout the midterm). Please explain the Roomnights and Takings variables in this dataset in words that anyone can understand. (2 points) motel %>% as_tsibble(index = Month) b. What is the frequency of the dataset? (1 point)