A subset of the output posted below:\ Response Revenues ($Billions) (Model accounting for a linear trend and seasonality)\ Indicator Function Parameterization\ Term\ Estimate\ Std Error\ Prob>|t|\ Intercept\ 22.67\ 2.170013\ < 0.0001 ^ *\ Time period\ 2.54\ 0.114\ < 0.0001 ^ *\ Quarter[ 1]\ -10.44\ 2.377\ 0.0003 ^ *\ Quarter[ 2]\ -11.15\ 2.385\ 0.0001 ^ *\ Quarter[ 3]\ -8.77\ 2.291\ 0.001 ^ *\ Bivariate Fit of Residual Revenues ($Billions) 2 By Lag residuals (AR(1) Model output)\ Parameter Estimates\ Term\ Estimate\ Std Error\ Prob>|t|\ Intercept\ -0.08\ 0.479\ 0.8598\ Lag residuals\ 0.772\ 0.132 |<.0001^ *\ The Updated forecast for the Amazon Sales accounting for Trend, Seasonality and Adjusted for the Serial Correlation using the AR(1) model is: billion dollars