Answer:
GAZ's price/earnings ratio is 4.8
Explanation:
In order to calculate GAZ's price/earnings ratio we would have to calculate the following formula:
GAZ's price/earnings ratio=market value per share/earnings per share
market value per share= $ 12
earnings per share=net income- preferred dividend/Average number of common shares
earnings per share=$42,000-$4,500/(16,000+14,000)/2
earnings per share=$2.50
Therefore, GAZ's price/earnings ratio= $ 12/$2.50
GAZ's price/earnings ratio=4.8
GAZ's price/earnings ratio is 4.8
Answer:
D. Bailments for the sole benefit of the bailee.
Explanation:
i got it right:)
Drivers permit, and driving license.
Articles of incorporation
, corporate charter are used to describe this document.
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Explanation:</u></h3>
The document that is very formal in nature and also filled with information related to the creation of the company refers to the Articles of incorporation. It contains the details related to the name and address of the company, the type and the amount of stock that is to be issued, agent for service of process.
The document that contains the information related to the secretary of state during the time in which the business is incorporated refers to the corporate charter. This can also be referred as certificate of incorporation. The details in this documents may differ that depends on the size and the regulations of the company.
Answer:
Answer is explained in the explanation section below.
Explanation:
Note: This question is incomplete and lacks necessary data to solve. Because, it contains only the options of the real question and the real question itself is missing. However I have found that real question. And will be choosing the right option from the given choices. And for your reference, I have attached the real question in the attachment below.
Solution:
The correct option for this question is:
For each additional room in the house, we estimate the appraised value to increase $17,800.
As this is the regression equation question.
y = βo + β1x
The intercept of the line βo = 17.80
Because the intercept of the regression model with the sample of n = 74 is 17.80, so the appraised value to increase is $17800.
