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The Following Regression Analysis Output Is for Watson Company's Cost  Coefficients  Y Intercept 258,323 X Variable 0.04\begin{array} { l r } &\text { Coefficients } \\ \text { \( Y \) Intercept } & 258,323 \\\text { \( X \) Variable } & 0.04\end{array}

Question 68

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The following regression analysis output is for Watson Company's cost of paying sales people salary plus commission as a percent of sales on a monthly basis:
 Coefficients  Y Intercept 258,323 X Variable 0.04\begin{array} { l r } &\text { Coefficients } \\ \text { \( Y \) Intercept } & 258,323 \\\text { \( X \) Variable } & 0.04\end{array}

a.Use the regression output above to develop the cost equation Y = f + vX.
b.What would be Watson's estimated costs if it had sales of $2,000,000 next month?
c.What concerns would you have if Watson's CEO wanted you to compute estimated costs based on $8,000,000 sales for next month,when sales amounts have never exceeded $3,000,000?

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a. The cost equation using the data from...

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