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Consider the Following Partial Computer Output for a Multiple Regression

question 20

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Consider the following partial computer output for a multiple regression model.
 Predictor  Coefficient (bi)  Standard Dev (sb)  Constant 99.3883X10.0072070.0031X20.00113360.00122X30.93240.373 Analysis of Variance  Source  df  SS  Regression 331.308 Error (residual)  169.378\begin{array}{l}\begin{array} { l l l } \text { Predictor } & \text { Coefficient } \left( \mathrm { b } _ { \mathrm { i } } \right) & \text { Standard Dev } \left( \mathrm { s } _ { \mathrm { b } } \right) \\\text { Constant } & 99.3883 & \\\mathrm { X } 1 & - 0.007207 & 0.0031 \\\mathrm { X } 2 & 0.0011336 & 0.00122 \\\mathrm { X } 3 & 0.9324 & 0.373\end{array}\\\text { Analysis of Variance }\\\begin{array} { l l l } \text { Source } & \text { df } & \text { SS } \\\text { Regression } & 3 & 31.308 \\\text { Error (residual) } & 16 & 9.378\end{array}\end{array}
-What is the adjusted R2?


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The budgetary figure anticipated, demanded, or paid out for something.

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A single seller in a market who has significant control over a particular product or service, often with the ability to influence prices.

Total Revenue

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The cost assigned to a single unit of a product or service.

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