"fal Topart the data into I and make a tim wins cija for tio snilly em ingarature, Brock the dois tele training and testing Fill I, the training data starin January, 1914 and and at tucciar, Ficly Plot the training data using A along with Its ant and just, boom of boat s foll minimal quiles was to choored ia the of and poof, Comment on what you chiers. forther co- piti to ant neigh Fit the model moing the arima[) fonction, and specifically thatify the must go- marion and their outlastes (is not just print the foretion results). Id Ho now aid on Mip = 1) coramant. justify the choice of adding an AR(1) component. ABAD. 41 PROCESS Fit the model to the his ming arial) and molly an produ's ating Using the dingrastic plots from toflagl), say whether this mofet some time . pal fit. Thing ARE, hawn on improved or medal by siding the Ulj commit [=] Use the predict[marion. object, n. chand pl function to proflct the northly cim temperatures for 3011-3016 using the model fit foras part (d). In s single plot, whom both the predictions and the bout at date, ming a login to distinguish beterm the predicted and observed veloss. Comment on whether the predictions are ricinable and his they differ from unn Lost mala. (1] Using the MeltWinters) function, fit a Wilt-Winters model to the dots. Do the maults of the Hell-winters model indioits a trundf Use predictll to predict the monthly mean ron temperatures for All-3016. Plot the Bolt-Muter predictions, The Boo-Jenkins predictions from part (s), and the test- ing data in the name plot. Comment on the comparison buton the he formating withads. Clolate the man sured predictim oror (5:) for the ko-heide bold and the Bilt Winters mill, thin method perform better