Please provide the r code Consider the AirPassengers dataset in R. 1. Obtain a time series plot. 2. Obtain the acf of the plot. 3. Fit an ARMA(1, 1) model to the data. 4. Redo the time series plot, this time along with the fitted values. Write down your comments based on observing the plot on how well the model has been fitted.

The table shows the values found in the error analysis.  What method of forecasting would be best to use?  What is the forecasted value?        MSE forecast for week 13 Time Series 1.08 14.76 3-week MA 3.04 13.67 exp smoothing 11.04 9.5

Need it in 15min

Provided here is a dataset from a class. This data was collected from an 8-10am course that met every Tuesday and Thursday.   Answer all of the following questions.  Give your answers in sentences and/or copy/paste your Excel graphs/commands when used.    2019 Data           Gender Age Height (in) Shoe Size Miles Home to school Classes this Semester M 20 77 15 3 4 F 45 63 11 8 3 F 20 62 8.5 22 4 F 19 68 9 7.5 4 M 19 70 9.5 6.5 4 F 18 63 6.5 6.5 5 F 21 62 5.5 2 4 F 19 65 7 7 4 F 18 64 8.5 5.5 5 F 19 60 7 15 3 F 21 60 6.5 5 1 M 19 72 11 15 5 M 42 68.75 11 5 1 M 18 74 11.5 2.5 4 F 18 62 6.5 7.5 4 F 19 60 7.5 3 5 F 20 59 4.5 3.5 5 M 20 78 14 87 5 M 19 72.5 12 0.5 4 M 21 66 8.5 5 4 M 19 76 12 45 5 M 19 71 12 22 5 M 19 69 11 4.5 4 F 19 65 7 2 4 F 25 66 8 1 2 M 19 68 10 5 4 M 19 72 11.5 82 4 F 18 64 8.5 21 4 F 23 70 9.5 4 3 D) Find the mean and standard deviation of the heights of this sample of students. E)  The Empirical Rule…