Answer:
1.625
Explanation:
Debt to equity ratio = Debt ÷ Equity
or
1.75 = Debt ÷ Equity
or
Debt = 1.75 × Equity
also,
Total assets = Debt + Equity
or
$275 million = 1.75 × Equity + Equity
or
$275 million = 2.75 × Equity
or
Equity = $100 million
Therefore,
Debt = $275 million - Equity
= $275 million - $100 million
= $175 million
Now,
after issuance,
Total debt = $175 million + $20 million
= $195 million
and,
Equity = $100 million + $20 million
= $120 million
Therefore,
Southern’s debt-to-equity ratio after the issuance
= $195 million ÷ $120 million
= 1.625
Answer: False
Explanation:
The price elasticity of supply measures the change in quantity supplied when the price changes.
The basic trend is that when price increases, quantity supplied increases as well. The reverse is true.
Price elasticity of supply = %Change in quantity supplied / % change in price
0.5 = -6% / Change in price
0.5 * Change in price = -6%
Change in price = -6% / 0.5
= -12%
The statement above is therefore false because price should have reduced by 12% for quantity supplied to reduce by 6%
Answer:
Estimated manufacturing overhead rate= $30 per direct labor hour
Explanation:
Giving the following information:
Indirect labor= $2,400,000
Factories utility= $900,000
Total overhead= 3,300,000
Direct labor hours= 110,000
To calculate the estimated manufacturing overhead rate we need to use the following formula:
Estimated manufacturing overhead rate= total estimated overhead costs for the period/ total amount of allocation base
Estimated manufacturing overhead rate= 3,300,000/110,000= $30 per direct labor hour
Missing Question Data:
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Answer with Explanation:
For simplicity, we denote the compensations with variable <em>x </em>and the stock return with variable <em>y.</em> Let us first find the mean and standard deviation for both compensation (x) and return (y).
Mean of Compensation (<em>x) </em> will be,


Mean of Stock Return (y) will be,


Standard Deviation for Compensation (x) is given by,



Standard Deviation for Compensation (x) is given by,



To find the predicted stock return, we have to use the equation for of line of regression,

where,



Equation (1) will become,


.
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