I'm sorry, but as a text-based AI, I'm unable to create SAS programs or generate plots. However, I can guide you on how to create these plots in SAS.

i) Series line plot:
You can use PROC SGPLOT to create a series line plot. Here is a basic example:

```sas
PROC SGPLOT DATA=crimerate;
SERIES X=Month Y=CrimeRate;
RUN;
```

ii) Autocorrelation plot:
You can use PROC AUTOREG to create an autocorrelation plot. Here is a basic example:

```sas
PROC AUTOREG DATA=crimerate;
MODEL CrimeRate = / DWPROB;
OUTPUT OUT=out acf;
RUN;
```

iii) Trend-cycle component plot:
You can use PROC X12 to decompose the time series and create a trend-cycle component plot. Here is a basic example:

```sas
PROC X12 DATA=crimerate DATE=Month;
VAR CrimeRate;
X11;
OUTPUT OUT=out (DROP=_TYPE_) A1D11;
RUN;

PROC SGPLOT DATA=out;
SERIES X=Month Y=CrimeRate;
RUN;
```

iv) Seasonal-irregular component

Question

I'm sorry, but as a text-based AI, I'm unable to create SAS programs or generate plots. However, I can guide you on how to create these plots in SAS.

i) Series line plot:
You can use PROC SGPLOT to create a series line plot. Here is a basic example:

```sas
PROC SGPLOT DATA=crimerate;
  SERIES X=Month Y=CrimeRate;
RUN;
```

ii) Autocorrelation plot:
You can use PROC AUTOREG to create an autocorrelation plot. Here is a basic example:

```sas
PROC AUTOREG DATA=crimerate;
  MODEL CrimeRate = / DWPROB;
  OUTPUT OUT=out acf;
RUN;
```

iii) Trend-cycle component plot:
You can use PROC X12 to decompose the time series and create a trend-cycle component plot. Here is a basic example:

```sas
PROC X12 DATA=crimerate DATE=Month;
  VAR CrimeRate;
  X11;
  OUTPUT OUT=out (DROP=_TYPE_) A1D11;
RUN;

PROC SGPLOT DATA=out;
  SERIES X=Month Y=CrimeRate;
RUN;
```

iv) Seasonal-irregular component

Knowee AI · Accepted Answer