Give the explanation of the stationary and non-stationary data. Explain the output result of the stationarity....

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Give the explanation of the stationary and non-stationary data. Explain the output result of the stationarity. . dfuller sugar, trend regress Dickey-Fuller test for unit root Number of obs = 390 Interpolated Dickey-Fuller Test 14 Critical 5% Critical Statistic Value Value 10% Critical Value z(t) -3.054 -3.984 -3.424 -3.130 MacKinnon approximate p-value for z(t) = 0.1176 D.sugar Coef. Std. Err. t P>|t| [95% Conf. Interval] sugar Ll. trend cons -.0358396 .0117352 -3.05 0.002 -.0000401 .0000127 -3.17 0.002 .0264335 .008392 3.15 0.002 -.0589124 -.0127668 -.000065 -.0000152 .009934 .042933 Give the explanation of the stationary and non-stationary data. Explain the output result of the stationarity. . dfuller sugar, trend regress Dickey-Fuller test for unit root Number of obs = 390 Interpolated Dickey-Fuller Test 14 Critical 5% Critical Statistic Value Value 10% Critical Value z(t) -3.054 -3.984 -3.424 -3.130 MacKinnon approximate p-value for z(t) = 0.1176 D.sugar Coef. Std. Err. t P>|t| [95% Conf. Interval] sugar Ll. trend cons -.0358396 .0117352 -3.05 0.002 -.0000401 .0000127 -3.17 0.002 .0264335 .008392 3.15 0.002 -.0589124 -.0127668 -.000065 -.0000152 .009934 .042933