MultipleRegression-SmData
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ABCDEFGHIJKLMNOPQ
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yx1x2
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121743
SUMMARY OUTPUT
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182819
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311894
Regression Statistics
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282028Multiple R0.4592341795
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521499R Square0.2108960316
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4718812
Adjusted R Square
-0.01456224511
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382155Standard Error13.34121571
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2215011Observations10
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361678
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171355ANOVA
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dfSSMSFSignificance F
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Regression2332.9837443166.49187210.93541046570.4364854746
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Residual71245.916256177.9880365
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Total91578.9
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y-hat= 25.03+(-0.0497*x1)+(1.928*x2)
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CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 95%Upper 95%
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x1 = 150Intercept25.0287006822.278627261.1234399850.2982976491-27.6518812877.70928264-27.6518812877.70928264
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x2 = 10x1-0.049714341390.1059924259-0.46903673530.6533006255-0.30034660040.2009179176-0.30034660040.2009179176
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y-hat = 25.03+(-0.0497*150)+(1.928*10)
x21.9281692541.4721604741.3097548050.2316238809-1.5529370825.40927559-1.5529370825.40927559
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SUMMARY OUTPUT
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Regression Statistics
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Multiple R0.4592341795
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R Square0.2108960316
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Adjusted R Square
-0.01456224511
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Standard Error13.34121571
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Observations10
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ANOVA
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dfSSMSFSignificance F
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Regression2332.9837443166.49187210.93541046570.4364854746
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Residual71245.916256177.9880365
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Total91578.9
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CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 95%Upper 95%
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Intercept25.0287006822.278627261.1234399850.2982976491-27.6518812877.70928264-27.6518812877.70928264
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x1-0.049714341390.1059924259-0.46903673530.6533006255-0.30034660040.2009179176-0.30034660040.2009179176
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x21.9281692541.4721604741.3097548050.2316238809-1.5529370825.40927559-1.5529370825.40927559
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