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Consider the Following Partial Computer Output for a Multiple Regression

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Consider the following partial computer output for a multiple regression model.  Predictor  Coefficient  Standard Deviation  Constant 41.2256.380X11.0811.353X218.4044.547\begin{array} { l c c } \text { Predictor } & \text { Coefficient } & \text { Standard Deviation } \\\text { Constant } & 41.225 & 6.380 \\\mathrm { X } _ { 1 } & 1.081 & 1.353 \\\mathrm { X } _ { 2 } & - 18.404 & 4.547\end{array} Analysis of Variance  Source DFSS Regression 22270.11 Error (residual) 263585.75\begin{array} { l r c } \text { Source } & \underline { \mathrm { DF } } & \underline { \mathrm { SS } } \\\text { Regression } & 2 & 2270.11 \\\text { Error (residual) } & 26 & 3585.75\end{array}
-What is the number of observations in the sample?


Definitions:

Straight-Line Depreciation

A method of allocating the cost of a tangible asset over its useful life in a linear fashion.

Delivery Equipment

Assets such as trucks and vans used by a company for the purpose of delivering products to customers.

Office Equipment

Tangible items used in an office environment for performing business operations, such as computers, printers, and furniture.

Accumulated Depreciation

The total amount of depreciation expense that has been recorded against a fixed asset since it was acquired.

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