SUMMARY OUTPUTRegression StatisticsMultiple R0.971R-SquareAAdjusted R-SquareBStandard Error30.462Observations51ANOVA dfSSMSFSignificance FRegressionC747851.57373925.79402.989.89E-31Residual48D927.91 Total50792391.11 CoefficientsStandard 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:
A. QRd = 2.32 ? 6.68PR + 9.73M.
B. QRd = 1664.46 ? 6.68PR + 9.73M.
C. PR = 1664.46 ? 6.68QR + 9.73M.
D. There is not sufficient information to answer the question.
Answer: B
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