Test the hypothesis that there was no autocorrelation versus the alternative of positive autocorrelation in errors

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The appropriate null and alternative hypotheses are H0 : ρ = 0, H1 : ρ > 0.
d = 0.64, n = 30, K = 3.
The cutoff points for the distribution of the Durbin-Watson test statistic are dL = 1.21 and dU = 1.65 (for α= 0.05 ) and dL = 1.01 and dU = 1.42 (for α= 0.01 )
The decision rule is as follows:
Reject H0 if d < dL
Accept H0 if d > dU
Test is inconclusive if dL < d < dU
Since 0.64 < 1.21 and 0.64 < 1.01, we reject H0 at both levels of significance. The Durbin-Watson test gives sufficient evidence to conclude that the errors are positively autocorrelated at both the 5% and 1% levels.

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Mr. and Mrs. Ibrah filed their 2018 Form 1040 on June 6, 2019. Assuming that the return does not contain any significant errors, what is the latest date that the IRS can assess any additional 2018 tax? 

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