// **************************************************************************** // Table 2.1 // **************************************************************************** Residuals: Min 1Q Median 3Q Max -0.257452 -0.070161 0.007918 0.082201 0.246745 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -15.405831 5.525742 -2.788 0.00619 ** LN.HH 1.509511 0.719735 2.097 0.03812 * LN.RGDP 0.842991 0.387900 2.173 0.03178 * RINT -0.006376 0.001219 -5.229 7.57e-07 *** RENT.DRG 0.003268 0.001516 2.155 0.03323 * TAX 0.182241 0.028020 6.504 2.02e-09 *** --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 Residual standard error: 0.1041 on 117 degrees of freedom Multiple R-Squared: 0.782, Adjusted R-squared: 0.7726 F-statistic: 83.92 on 5 and 117 DF, p-value: < 2.2e-16 // ============================================================================ // Test for Autocorrelation // ============================================================================ Breusch-Godfrey test for serial correlation of order 1 LM test = 89.6731, df = 1, p-value = < 2.2e-16 Durbin-Watson test DW = 0.3178, p-value = < 2.2e-16 alternative hypothesis: true autocorrelation is greater than 0 Box-Pierce test X-squared = 84.8589, df = 1, p-value = < 2.2e-16 // **************************************************************************** // Table 2.2 // **************************************************************************** Call: lm(formula = formula.3, data = HousePrices) Residuals: Min 1Q Median 3Q Max -0.108060 -0.022111 -0.002451 0.026729 0.129579 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -2.1764707 2.2163368 -0.982 0.328137 LN.RPH.1 0.8987236 0.0351637 25.558 < 2e-16 *** LN.HH 0.2248246 0.2851624 0.788 0.432066 LN.RGDP 0.0919818 0.1541089 0.597 0.551763 RINT -0.0018213 0.0005079 -3.586 0.000493 *** RENT.DRG -0.0010070 0.0006146 -1.638 0.104056 TAX -0.0111508 0.0132919 -0.839 0.403244 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 Residual standard error: 0.04061 on 116 degrees of freedom Multiple R-Squared: 0.9671, Adjusted R-squared: 0.9654 F-statistic: 568.6 on 6 and 116 DF, p-value: < 2.2e-16 // ============================================================================ // Test for Autocorrelation // ============================================================================ Breusch-Godfrey test for serial correlation of order 1 LM test = 0.0293, df = 1, p-value = 0.8641 Durbin-Watson test DW = 1.934, p-value = 0.1847 alternative hypothesis: true autocorrelation is greater than 0 Box-Pierce test X-squared = 0.0263, df = 1, p-value = 0.8711