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The Regression Output Produced by MINITAB for Times Series Set C1=33.6+0.709C2\mathrm { C } 1 = 33.6 + 0.709 \mathrm { C } 2

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The regression output produced by MINITAB for times series set of data is shown below: The regression equation is C1=33.6+0.709C2\mathrm { C } 1 = 33.6 + 0.709 \mathrm { C } 2
 The regression output produced by MINITAB for times series set of data is shown below: The regression equation is  \mathrm { C } 1 = 33.6 + 0.709 \mathrm { C } 2      s = 3.283 \quad R - s q = 53.1 \% \quad R - s q ( a d j ) = 49.7 \%  Analysis of Variance  \begin{array} { l l c r c r r r } \text { SOURCE } & \text { DF } & & \text { SS } & \text { MS } & \text { F } & p & \\ \text { Regression } & & 1 & & 170.83 & 170.83 & 15.85 & 0.001 \\ \text { Error } & 14 & & 150.92 & 10.78 & & & \\ \text { Total } & 15 & & 321.75 & & & & \end{array}  Durbin-Watson statistic  = 1.94  Test for positive autocorrelation using a 0.05 significance level. Test statistic = ____________________ Critical Value = ____________________ Conclusion: ____________________ Interpretation: __________________________________________________

s=3.283Rsq=53.1%Rsq(adj)=49.7%s = 3.283 \quad R - s q = 53.1 \% \quad R - s q ( a d j ) = 49.7 \%
Analysis of Variance
 SOURCE  DF  SS  MS  F p Regression 1170.83170.8315.850.001 Error 14150.9210.78 Total 15321.75\begin{array} { l l c r c r r r } \text { SOURCE } & \text { DF } & & \text { SS } & \text { MS } & \text { F } & p & \\ \text { Regression } & & 1 & & 170.83 & 170.83 & 15.85 & 0.001 \\ \text { Error } & 14 & & 150.92 & 10.78 & & & \\ \text { Total } & 15 & & 321.75 & & & & \end{array}
Durbin-Watson statistic =1.94= 1.94 Test for positive autocorrelation using a 0.05 significance level.
Test statistic = ____________________
Critical Value = ____________________
Conclusion: ____________________
Interpretation: __________________________________________________

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1.94; 1.37; Do not r...

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