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TABLE 16-9
the Executive Vice-President of a Drug SUMMARY OUTPUT\text {SUMMARY OUTPUT}

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TABLE 16-9
The executive vice-president of a drug manufacturing firm believes that the demand for the firm's most popular drug has been evidencing an exponential trend since 1985. She uses Microsoft Excel to obtain the partial output below. The dependent variable is the log base 10 of the demand for the drug, while the independent variable is years, where 1985 is coded as 0, 1986 is coded as 1, etc.
SUMMARY OUTPUT\text {SUMMARY OUTPUT}

Regression Statistics Multiple R 0.996 R Square 0.992 Adjusted R Square 0.991 Standard Error 0.02831 Observations 12\begin{array} { l r }\text {Regression Statistics}\\ \text { Multiple R } & 0.996 \\ \text { R Square } & 0.992 \\ \text { Adjusted R Square } & 0.991 \\ \text { Standard Error } & 0.02831 \\ \text { Observations } & 12 \end{array}

 Coefficients  Intercept 1.44 Coded Year 0.068\begin{array}{lc} & \text { Coefficients } \\\text { Intercept } & 1.44 \\\text { Coded Year } & 0.068\end{array}

-Referring to Table 16-9, the fitted trend value for 1990 is _____.

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