Tut_Week6_R_output.pdf - APPENDIX REGRESSION ANALYSIS MODEL ONE Call lm(formula = y ~ x1 x2 x3 x4 x5 x6 x7 x8 Residuals Min 1Q

# Tut_Week6_R_output.pdf - APPENDIX REGRESSION ANALYSIS MODEL...

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APPENDIX: REGRESSION ANALYSIS MODEL ONE Call: lm(formula = y ~ x1 + x2. + x3 + x4. + x5. + x6 + x7. + x8.) Residuals: Min 1Q Median 3Q Max -4.18693 -1.36962 -0.04656 1.28126 5.32448 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.235128 14.668005 0.016 0.987333 x1 -0.029086 0.057557 -0.505 0.617577 x2.2 0.661710 1.379110 0.480 0.635375 x3 0.005561 0.086903 0.064 0.949465 x4.2 -0.013743 0.984202 -0.014 0.988965 x5.2 -0.923600 0.976214 -0.946 0.352806 x5.3 -1.886237 1.848037 -1.021 0.316814 x6 0.182776 ? 0.770 0.448172 x7.2 0.892358 1.411845 0.632 0.532873 x7.3 1.988548 1.170751 1.699 0.101347 x8.2 3.733586 0.859883 4.342 0.000191 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 2.39 on ? degrees of freedom Multiple R-squared: ?, Adjusted R-squared: 0.3807 F-statistic: 3.213 on 10 and ? DF, p-value: ? (X’X) -1 or C Matrix: x1 x2 x3 x4 x5 x1 0.0004313778 0.004035290 -0.0001704586 0.001364992 0.0006637377 x2 0.0040352897 0.211415133 -0.0036042042 0.018872376 0.0344500711 x3 -0.0001704586 -0.003604204 0.0001353601 -0.001495663 -0.0014189140 x4 0.0013649918 0.018872376 -0.0014956626 0.139626101 -0.0136670614 x5 0.0006637377 0.034450071 -0.0014189140 -0.013667061 0.0795087274 x6 0.0002322467 0.010144992 -0.0003551080 0.009902438 -0.0029241516 x7 -0.0005629805 -0.005358375 -0.0007370001 -0.012953602