QUESTION 1 Analysis of data for an autoregressive forecasting model produced the

Question

QUESTION 1 Analysis of data for an autoregressive forecasting model produced the following tables. CoefficientsStandard Error t Statisticp-value 3.745787 0.84426 0.34299 0.0828491.66023 0.103822 0.035709 14.65044 6.69E-19 Intercept 3.85094 0.70434 0.62669 df 2 43 45 MS p-value Regression Residual Total 135753.5 67876.76 107.3336 1.91E-17 27192.79 632.3904 162946.3 The results indicate that the first predictor, yt-1, is significant at the 10% level the second predictor , yt-2, is significant at the 19% level all predictor variables are significant at the 5% level none of the predictor variables are significant at the 5% level the overall regression model is not significant at 5% level

Explanation / Answer

1)the reseult indicates that:

the second predictor yt-2 is significant at the 1% level

3)

predicted value =3.85094+54*(-0.62669)+191*(0.70434)=104.54

2)

eliminate bias from the sample

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