After running simple linear regression model, the residuals for 15 consecutive time periods are as follows....

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After running simple linear regression model, the residuals for 15 consecutive time periods are as follows. Time Period 1 Residual 4 2 -6 3 -1 4 -5 5 1 6 5 7 -2 8 7 9 6 10 -3 11 1 12 3 13 1 14 -4 15 -7 (1) Compute the Durbin-Watson statistic. (Round to 2 decimal places) 1.72 (2) At the 0.05 level of significance, Check critical values of Durbin-Watson statistics (Durbin-Watson table.pdf). The larger critical value is (3) There is evidence of positive autocorrelation among the residuals? F (Put "T" for Ture, put "F" for False ) After running simple linear regression model, the residuals for 15 consecutive time periods are as follows. Time Period 1 Residual 4 2 -6 3 -1 4 -5 5 1 6 5 7 -2 8 7 9 6 10 -3 11 1 12 3 13 1 14 -4 15 -7 (1) Compute the Durbin-Watson statistic. (Round to 2 decimal places) 1.72 (2) At the 0.05 level of significance, Check critical values of Durbin-Watson statistics (Durbin-Watson table.pdf). The larger critical value is (3) There is evidence of positive autocorrelation among the residuals? F (Put "T" for Ture, put "F" for False )