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3. The SMSA data consisting of 141 observations on 10 variables is fitted by the model below: y=Bo+ B+ Bte + Bats +71248 +1268
3. The SMSA data consisting of 141 observations on 10 variables is fitted by the model below: y=Bo+ B+ Bte + Bats +71248 +1268 + . The following results are obtained: Estimate Std. Error t value Pr(>It!) (Intercept) 1.302e+03 4.320e+02 3.015 0.00307 -1.442e+02 2.056e+01 -7.013 1.02e-10 x4 x6 x8 x4:x8 x6:x8 6.340e-01 6.099e+00 0.104 0.91737 -9.455e-02 5.802e-02 -1.630 2.882e-02 2.589e-03 11.132 1.673e-03 7.215e-04 0.10550 F) 3486722 17.9286 4.214e-05 14595537 75.0499 1.244e-14 14595537 Df x4 1 x6 1 x8 x4:x8 1 x6:x8 1045693 Residuals 135 26254490 1 1 1198603043 1198603043 6163.1900 < 2.2e-16 25765100 25765100 132.4836
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