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REGRESSION ANALYSIS OF THE presumption MODEL LRCONSt =?1 +?1 LRgross municipal productt +?2LRPRICE+ut LRCONS=logof original spendingofhouseholds LRgross domestic product=logof receivedGDP LRPRICE=logof therealHalifax housingpriceindex gameboard 1 underage covariant: LRCONS| Method: least(prenominal) Squares| Date: 03/12/12 Time: 12:46| Sample: 1983:1 2006:1| Included observations: 93| Variable| Coefficient| Std. Error| t-Statistic| Prob. | C| -1.723900| 0.076314| -22.58961| 0.0000| LRGDP| 1.176350| 0.011157| 105.4315| 0.0000| LRPRICE| -0.039056| 0.007990| -4.888215| 0.0000| R-squared| 0.996252| squiffy dependent var| 6.603595| alter R-squared| 0.996169| S.D. dependent var| 0.198984| S.E. of backsliding| 0.012317| Akaike info criterion| -5.923962| center field squared residual rock oil| 0.013654| Schwarz criterion| -5.842265| Log likelihood| 278.4642| F-statistic| 11960.77| Durbin-Watson stat| 0.463914| Prob(F-statistic)| 0.000000| * Coefficients * If real GDP moves 1% then there impart be 1.176% movement in real manipulation in same direction. * If the real housing price index moves by 1% then real consumption of household flow by 0.03905%. * Constant: * If GDP and housing prices become home in then still the consumption will be go down by -1.72%. PART B severalize 1: A.

Testing resultant correlation H0: no positive autocorrelation H*0: no disallow auto correlation rank ofdo not annihilate H0zone of reject H* evidence Reject H0evidence of indecisionor H* or bothindecisionof negative Positive autocorrelationautocorrelation 0dL du4 du 4 dL4 dL = 1.623, du = 1.709 4-du = 2.291 and 4-dL = 2.377 So our D. W value lies in the initiatory region whereas we reject the H0 that there is positive autocorrelation. rule 2:Breusch-Godfrey Serial Correlation LM Test:| F-statistic| 31.30913| prospect| 0.000000| Obs*R-squared| 55.13723| chance|...If you want to get a full essay, order it on our website: Orderessay

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