R help - Oct 2012 - time series data failing non-constant variance test

For a set of data showing seasonality (related to the 4th quarter), 
ncv 
    test shows p-value of 0.008 which rejects the null hypothesis of 
    constant-variance.  Currently a linear LM relationship is being 
applied to 
    the data.
    Should white's error be used to correct the non-constant variance? Are 
the p-values of the coefficients unreliable? 

    thanks

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