For the linear model, use the "Estimate Equation" and type "y c x2 x3 x4 x5"
in the dialog box, and the results are as follows:

The coefficient for the price of a dozens rose is statistically significant at the 95% level.
It shows that, on average, the quantity of roses sold decreases by 2227.7 dozen as the price increases by $1 during the sample period. The other coefficient are not statistically different from zero; p-vaule for the carnation coefficient is 0.3027, for disposable income, p = 0.8412; for trend p=0.078.
 

For the log-linear model, in the Equation Specification dialogue box type "log(y) c log(x2) log(x3) log(x4) log(x5)" , then click OK button and the results are as follows:


The coefficient for the Lnprice of a dozens rose is statistically significant at the 95% level.
It shows that, on average, the quantity of roses sold decreases by 1.27%  as the price increases by 1% during the sample period. The other coefficient are not statistically different from zero; p-vaule for the carnation coefficient is 0.1828, for disposable income, p = 0.1815; for trend p=0.1833.

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