Answer: <em><u> $56,000 is unadjusted revenue overstated in the combined income statement for year 2.</u></em>
Explanation:
Consolidated Cost of Goods Sold = $40,000,
However, Twill realizes $56,000 ($40,000 × 140%) for a total of $96,000 as the cost of goods sold.
Thus, $56,000[$96,000 – $40,000] should be eliminated from Cost of Goods Sold in the combined income statement for year 2.
Answer:
D. return on investment.
Explanation:
The purpose of this comparison is to evaluate the training program on the criterion of return on investment.
In Business management, Return on Investment (ROI) is a metric mostly used by employers as an assessment and evaluation tool of a training program over a period of time.
Answer:
Common-ground persuasion technique
Explanation:
A common-ground persuasion technique is a technique aimed at improving interpersonal relationships. Like the word, common ground means establishing agreement on certain ideas or points in other to ensure that relationships between individuals are stable and problem free.
In the case of Rebecca, she has used the common-ground persuasion technique to ensure that her boss accepts her suggestion that one of the office assistants take on the responsibility of completing the sales report. By carefully outlining more disadvantages of her taking up the responsibility, her boss will most likely agree to her suggestion.
Cheers.
Answer:
C) cluster analysis
Explanation:
Regression analysis. The regression analysis determines the relationship between the two variables. Thus, one of these quantities (X) is given in advance(dependent) and is not random. The second value (U) is the independent and random number. The randomness of the second quantity can be explained for two reasons. First: Measuring the random number U, which depends on the number X, is associated with certain errors; second: The value of U may depend on other uncontrollable factors, in addition to being dependent on the value of the corresponding X value. In this case, we need to talk about the distribution of the random variable U against each value of the X variable. The main purpose of the regression analysis is to build a mathematical model that takes into account the factors affecting the physical process using experimental data and evaluating its accuracy. The least squares method is used for statistical estimation of the mathematical model's suitability to experimental data.
Discriminant analysis is a method used in statistics, pattern recognition, and machine learning to find a linear combination of attributes that define or distinguish two or more classes or events. The resulting combination can be used as a linear classifier or more often to reduce the size before classifying. LDA is closely related to variance analysis (ANOVA) and regression analysis, which try to express a dependent variable as a linear combination of other properties or dimensions. However, while variance analysis uses qualitative independent variables and a continuous dependent variable, discriminant analysis has continuous independent variables and a qualitative dependent variable.
Cluster analysis or clustering is a problem of grouping a number of objects. In this problem, objects must be in some way more similar to those in other groups to accommodate the same clusters (clusters). One of the main problems with data transmission is a common technique used in statistical data analysis. It is also used in machine learning, pattern recognition, image analysis, data retrieval, bioinformatics, data compression and computer graphics.
One-way analysis of variance (ANOVA) is used to calculate the significance of the difference between three and more independent means in a normally distributed series. ANOVA compares the arithmetic means of three or more groups alone; ANOVA result is also significant when at least one of these comparisons is significant. To measure the significance it will have the relation to the regression analysis that's why there will be dependent and independent variables as well.
Answer:
Option (B) 10.87%
Explanation:
Data provided in the question:
common stock outstanding = 30,000
Market price = $15.00
Issuing price of share = $31 per share
Total face value = $280,000
Selling price = 86% of par
Cost of equity, ke = 13%
After-tax cost of debt, kd = 6.9%
Beta = 1.48
Tax rate = 30%
Now,
Market value of debt, Md = Total face value × Selling price
= $280,000 × 86%
= $240,800
Market value of equity, Me = Stocks outstanding × Market price
= 30,000 × $15
= 450,000
Thus,
WACC = [ Kd × Md + Ke × Me ] ÷ ( Md + Me )
= [ 0.069 × $240,800 + 0.13 × $450,000 ] ÷ ( $240,800 + $450,000 )
= $75,115.20 ÷ $690,800
= 0.1087
or
= 0.1087 × 100%
= 10.87%
Option (B) 10.87%
