A wascorrect!
　　The Durbin-Watson statistic tests forserialcorrelation. For large samples, the Durbin-Watson statistic is equal totwomultiplied by the difference between one and the sample correlation betweentheregressions residuals from one period and the residuals from thepreviousperiod, which is 2 × (1  0.145) = 1.71, which is higher thanthe upperDurbin-Watson value (with 2 variables and 90 observations) of 1.70.That meansthe hypothesis of no serial correlation cannot be rejected. There isnoinformation on whether the regression exhibits heteroskedasticity.
　　
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