Answer:
Ending Inventory $ 64,000
Explanation:
To define the final inventory of the company it's necessary to find the cost of good of the period.
As the company had a 43% of gross profit, it means that for every dollar of sales we have 0,43 dollar of Gross Profit, with this value is possible to know the total cost of the goods sold during the period, that it's the difference between Sales Revenue and Gross Profit.
Total Sales Revenue had to be the net value after returns and discounts as it's detailed.
Income Statement
Sales revenue $ 300,000
Cost of goods sold -$ 171,000
Gross Profit $ 129,000 43%
Beginning Inventory $ 60,000
Purchases $ 175,000
Cost of goods sold -$ 171,000
Ending Inventory $ 64,000
A. 1% increase in the price of the good causes the supply curve to shift upward by 4 percent.
Answer:
journal entry are given below
Explanation:
given data
gross pay for the period = $1,000
net pay for the period = $820
to find out
journal entry to record the issuance of payroll checks
solution
journal entry are as
Account Name Debit Credit
Labor Expenses $1000
payroll taxes Payable $820
Net Payroll Payable $180
( $1000 - $820 )
Answer:
Larger-sq and small Se.
Explanation:
Regression line is a line that clearly describes the behavior of a given set of data.
Regression lines are very essential for forecasting processes. The importance of the line is to describe the interrelation of a dependent variable (Y variable) with one or many independent variables (X variable).
An analyst can forecast future behaviors of the dependent variable by making use of the equation gotten the regression line. This is done by inputting different values for the independent ones. Regression lines are frequently employed in the financial sector.
Financial analysts make use of linear regressions to forecast stock prices, commodity prices and also to carry out valuations for many different securities. Companies use regressions for the purpose of forecasting sales, inventories and a lot of other variables that are needed for strategy and planning. The regression line formula is represented below:
(Y = a + bX + u)
Answer:
40% , 24% and 16%
Explanation:
Total Amount invested = $2600
Portfolio is composed of :
Treasury bills paying 4%, Risky portfolio P, Two risky securities ( X and Y )
Optimal weights
X = 60% , Y = 40%
Expected rate of return
X = 16% , Y = 11%
<u>To form a complete portfolio with an expected rate of return of 8% </u>
Invest approximately 40% in risky portfolio
Invest approximately 24% and 16% of your complete portfolio in security X and Y
attached below is the detailed solution
