SUMMARY OUTPUT Regression StatisticsMultiple R0.971R-SquareAAdjusted R-SquareBStandard Error30.462Observations51ANOVAdfSSMSFSignificance FRegressionC747851.57373925.79402.989.89E-31Residual48D927.91Total50792391.11CoefficientsStandard Errort StatP-ValueLower 95%Upper 95%InterceptE62.1326.791.60E-301539.661789.51Price of Roses-6.68F-1.411.64E-01-16.162.81Disposable Income (M)9.730.34G1.23E-319.0410.42From the
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SUMMARY OUTPUT
Regression StatisticsMultiple R0.971R-SquareAAdjusted R-SquareBStandard Error30.462Observations51ANOVAdfSSMSFSignificance FRegressionC747851.57373925.79402.989.89E-31Residual48D927.91Total50792391.11CoefficientsStandard Errort StatP-ValueLower 95%Upper 95%InterceptE62.1326.791.60E-301539.661789.51Price of Roses-6.68F-1.411.64E-01-16.162.81Disposable Income (M)9.730.34G1.23E-319.0410.42From the regression output, the predicted regression line is:
Select one:
A. QRd= 2.32 6.68PR+ 9.73M.
B. PR= 1664.46 6.68QR+ 9.73M.
C. QRd= 1664.46 6.68PR+ 9.73M.
D. There is not sufficient information to answer the question.
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