Eviews

REGRESSION ANALYSIS OF THE GIVEN MODEL LRCONSt =?1 +?1 LRgross domestic productt +?2LRPRICE+ut LRCONS=logof original spendingofhouseholds LRgross domestic product=logof originalGDP LRPRICE=logoftherealHalifax housepriceindex gameboard 1 certified Variable: LRCONS| Method: Least 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| recollect dependent var| 6.603595| Adjusted R-squared| 0.996169| S.D. dependent var| 0.198984| S.E. of infantile fixation| 0.012317| Akaike info criterion| -5.923962| Sum squared residual oil| 0.013654| Schwarz criterion| -5.842265| Log likelihood| 278.4642| F-statistic| 11960.77| Durbin-Watson stat| 0.463914| Prob(F-statistic)| 0.0000 00| * Coefficients * If real GDP moves 1% then there will be 1.176% movement in real purpose in same direction. * If the real housing price index moves by 1% then real consumption of household decrease by 0.03905%. * Constant: * If GDP and housing prices become zero then still the consumption will be decrease by -1.72%. PART B recite 1: A.

Testing serial correlation H0: no positive motorcarcorrelation H*0: no negative auto correlation govern ofdo not reject H0zone of reject H* evidence Reject H0evidence of indecisionor H* or bothindecisionof negative substantiating 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 1st region whereas we reject the H0 that there is positive autocorrelation. regulation 2:Breusch-Godfrey Serial Correlation LM Test:| F-statistic| 31.30913| anticipation| 0.000000| Obs*R-squared| 55.13723| Probability|...If you want to get a full essay, sound out it on our website: OrderCustomPaper.com

If you want to get a full essay, visit our page: write my paper