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SCENARIO 12-10
the Management of a Chain Electronic Store Would

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SCENARIO 12-10
The management of a chain electronic store would like to develop a model for predicting the weekly sales (in thousands of dollars) for individual stores based on the number of customers who made purchases.A random sample of 12 stores yields the following results:  Customers  Sales  (Thousands of  Dollars) 90711.2092611.057138.217419.217809.4289810.085106.735297.024606.128729.526507.536037.25\begin{array} { | l | c | } \hline \text { Customers } & \begin{array} { l } \text { Sales } \\\text { (Thousands of } \\\text { Dollars) }\end{array} \\\hline 907 & 11.20 \\\hline 926 & 11.05 \\\hline 713 & 8.21 \\\hline 741 & 9.21 \\\hline 780 & 9.42 \\\hline 898 & 10.08 \\\hline 510 & 6.73 \\\hline 529 & 7.02 \\\hline 460 & 6.12 \\\hline 872 & 9.52 \\\hline 650 & 7.53 \\\hline 603 & 7.25 \\\hline\end{array}
-Referring to Scenario 12-10, generate the residual plot.


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Cancerous Tumor

An abnormal growth of cells that can invade and destroy surrounding tissue and potentially spread to other parts of the body.

Reticulosarcoma

An outdated term for a type of non-Hodgkin lymphoma that affects cells in the immune system, now more specifically classified.

Rhabdomyosarcoma

A malignant tumor of skeletal muscle tissue.

Leiomyosarcoma

A rare type of cancer that occurs in smooth muscle tissue, found in the uterus, stomach, intestines, and blood vessels.

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