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Computer Terminal Maintenance. Following is a portion of the regression output for an application relating maintenance expense (dollars per month) to usage (hours per week) for a particular brand of computer terminal.

 ANOVA  of  SS  MS F Signeficance F Regression 11575.76 Residual 8349.14 Total 91924.90 Coefflieleats Standad Drror  I Staf  P-talue  Interoept 6.10920.9361 Usage 0.89510.149\begin{aligned} &\text { ANOVA }\\ &\begin{array}{lrrrrr} \hline & \text { of } & \text { SS } & \text { MS } & F & \text { Signeficance } F \\ \hline \text { Regression } & 1 & 1575.76 & & & \\ \text { Residual } & 8 & 349.14 & & & \\ \text { Total } & 9 & 1924.90 & & & \\ \hline \end{array}\\ &\begin{array}{lrrrr} \hline & \text { Coefflieleats Standad Drror } & \text { I Staf } & \text { P-talue } \\ \hline \text { Interoept } & 6.1092 & 0.9361 & & \\ \text { Usage } & 0.8951 & 0.149 & \\ \hline \end{array} \end{aligned}

a. Write the estimated regression equation.

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The goal of this task is to write the estimated regression equation using the given tables.

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