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The Following Information Pertains to Cheng Company What Is the Profit Margin for Cheng?
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The following information pertains to Cheng Company. Assume that all statement of financial position amounts represent both average and ending balance figures. Assume that all sales were on credit. All amounts are in thousands except per share items.  Assets  Property, plant and equipment ¥215,000 Inventory 25,000 Accounts receivable (net)  30,000 Cash and short-term investments 40,000 Total Assets ¥310,000 Equity and Liabilities  Shareholders’ equity-ordinary ¥155,000 Non-current liabilities 95,000 Current liabilities 60,000 Total Equity and Liabilities ¥310,000 Income Statement  Sales revenue ¥90,000 Cost of goods sold 45,000 Gross margin 45,000 Operating expenses 20,000 Net income ¥25,000 Number of ordinary shares 6,000 Market price of ordinary shares $20 Dividends per share 1.00\begin{array}{lr}\text { Assets }\\\text { Property, plant and equipment } &¥ 215,000 \\\text { Inventory } & 25,000 \\\text { Accounts receivable (net) } & 30,000 \\\text { Cash and short-term investments } & 40,000 \\\quad \text { Total Assets } & ¥ 310,000\\\\\text { Equity and Liabilities }\\\text { Shareholders' equity-ordinary } &¥ 155,000 \\\text { Non-current liabilities } & 95,000 \\\text { Current liabilities } & 60,000 \\\quad \text { Total Equity and Liabilities } &¥ 310,000\\\\\text { Income Statement }\\\text { Sales revenue } & ¥ 90,000 \\\text { Cost of goods sold } & 45,000 \\\text { Gross margin } & 45,000 \\\text { Operating expenses } & 20,000 \\\quad \text { Net income } &¥25,000\\\\\text { Number of ordinary shares } & 6,000 \\\text { Market price of ordinary shares } & \$ 20 \\\text { Dividends per share } & 1.00\end{array} What is the profit margin for Cheng?


Definitions:

Dependent Variables

Variables in an experiment or model that are expected to change as a result of changes in the independent variables.

Multicollinearity

A situation in multiple regression where one predictor variable in the model can be linearly predicted from the others with a substantial degree of accuracy.

Multicollinearity

A statistical phenomenon in which two or more predictor variables in a multiple regression model are highly correlated.

Independent Variables

Factors or conditions that are manipulated or changed in an experiment to observe their effect on dependent variables without being influenced by them.

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