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In the exercises below, we will explore more in Time Series analysis.The previous exercise is here,Please follow this in sequence

Answers to these exercises are available here.

**Exercise 1**

load the AirPassangers data,check its class and see the start and end of the series .

**Exercise 2**

check the cycle of the TimeSeries AirPassangers .

**Exercise 3**

create the lagplot using the gglagplot from the forecast package,check how the relationship changes as the lag increases

**Exercise 4**

Also plot the correlation for each of the lags , you can see when the lag is above 6 the correlation drops and again climbs up in 12 and again drops in 18 .

**Exercise 5**

Plot the histogram of the AirPassengers using gghistogram from forecast

**Exercise 6**

Use tsdisplay to plot autocorrelation , timeseries and partial autocorrelation together in a same plot

**Exercise 7**

Find the outliers in the timeseries .

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