SOME BASIC MINITAB COMMANDS

mtb> set 'file.dat' c1            (Note: read single variable data from file)
mtb> read 'file.dat' c1,...,ck    (Note: read data from file, put into columns)
mtb> describe c1,...,ck           (Note: provide basic statistics for each col)
mtb> print c1,...,ck              (Note: print the data for each column)
mtb> plot c1 c2                   (Note: scatter plot of y in c1 vs x in c2)
mtb> nscores c11, put into c12    (Note: obtain normal scores for data in c11)
mtb> correlation c1 c2
mtb> correlation c1,...,ck
mtb> regress c1 on k predictors c2,...,c(k+1);
        resid in c11;
        fit in c12.
mtb> stop                         (Note: end the current Minitab session)

SPECIFIC MINITAB COMMANDS FOR TIME SERIES ANALYSIS

mtb> tsplot [period k] data in c1
mtb> acf [to k lags] for data in c1
mtb> pacf [to k lags] for data in c1
mtb> difference [of lag k] for data in c1, put into c2
mtb> lag [of length k] the data in c1, put into c2
mtb> arima p d q [P D Q, period S] for data in c1, residuals in c2
     [fitted values in c3, estimated parameters in c4]

Note: Summary of information on ARIMA command
p - order of AR (regular or nonseasonal)
d - number or order of regular differences
q - order of MA (regular or nonseasonal)
P - order of seasonal AR (for seasonal models)
D - number of seasonal differences (for seasonal models)
Q - order of seasonal MA (for seasonal models)
S - seasonality or period (for seasonal models)

subcommands for arima:
constant, noconstant, forecast to k leads ahead 
[store forecasts in c21, prediction limits in c22]