AR model Given below EXCEL outputs of autoregressive models for Australia's GOP (in billions of dollars) from 1998 to 2018: AR (2) Regression Statistics Multiple R 0.960 R Square Adjusted R Square 0.920 Standard Error 113.346 Observations 21 ANOVA MS F Regression 2 3202276 1601138 124.628 Residual 231262.5 12947.36 Total 20 3433429 Coefficients Standard Error & Star P-value Intercept 110.704 63.540 1.742 0.099 Y[:-1) 1.208 0.224 5.383 0.0.01 Y[t-21 -0.289 0.220 -1.211 0206 AR(1) Regression Statistics Multiple R 0.962 R Square 0.926 Adjusted R Square 0.922 Standard Error 716.467 Observations 21 ANDVA L Regression 1 3140208 3180208 238.524 Residual 19 L'OTEESE 13232.64 Total 20 2433029 Coefficients Standard Error t Stat Intercept 119.509 1857 0.079 YIt-1) 0.924 15.444 al Using a DY level of significance,what is the appropriate AR model? Use the P-vaive to explain your answer. (2 marks) bj Write the regression equation for AR(2).(2 marks) c If one decides to use AR[2), what will be the forecast for 2019 (The GOP for 2018 is 1428 and for 2017 is 1326).(4 marks) Note: Please show your working out and keep 2 decimal places