Compute the total domestic overnight trips for holidays across Australia from the tourism dataset. a. Plot the data and describe the main features of the series.
b. Decompose the series using STL and obtain the seasonally adjusted data.
c. Forecast the next two years of the series using an additive damped trend method applied to the seasonally adjusted data. (This can be specified using decomposition_model().)
d. Forecast the next two years of the series using an appropriate model for Holt's linear method applied to the seasonally adjusted data (as before without damped trend).
e. Now use ETS() to choose a seasonal model for the data.
f. Compare the RMSE of the ETS model with the RMSE of the models you obtained using STL decompositions. Which gives the better in-sample fits? & Compare the forecasts from the three approaches? Which seems most reasonable?

the correct answer is a) they believe they have a "just cause."

islamic terrorists justify their violent actions because they believe they have a "just cause."

every act of terrorism of islamic sects is done “in the name of allah”. that justifies their actions. islam people who commit those terrorist attacks are not afraid to die. that is why the attacks have horrible consequences. they know they are going to die and they are proud to do it because it is in the name of allah, so it is justified and is for a “good cause.”

since the very beginning of the conflict with israel, islam is fighting a “sacred war”, respecting the words stated in the qur’an. they fight against the domination of the western countries and to defend their occupied territories.

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substitute,

circle 1 = 5

circle 2 = 20

circle 3 = 44

in this case no matter how you add, you will always get a perfect square..

hence proved

happy to

pls mark as brainliest

sweetheart, there isn't a cube below.