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ratelena [41]
2 years ago
6

At dana's new business he's running into problems with employees who don't want to change procedures or do things his way this c

an be one of the drawbacks of
Business
1 answer:
Dimas [21]2 years ago
6 0
I think you forgot to give the options along with the options. I am answering the question based on my experience and knowledge. At Dana's new business he's running into problems with employees who don't want to change procedures or do things his way this can be one of the drawbacksof <span>not having adequate experience.</span>
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Plessings Company leased a piece of machinery to Banana, Inc. on January 1, 2019. The lease is correctly classified as a sales−t
Stells [14]

Answer:

7.49%

Explanation:

n = Number of payment periods = 3

P = Total lease payment = Annual lease payment * Number of period = $20,700 * 3 = $62,100

FV = fair value of the machine = $50,000

Implicit rate = [($62,100 / $50,000)^(1 / 3)] - 1 = 0.0749, or 7.49%

3 0
2 years ago
Which method of analysis does not classify variables as dependent or independent?
Masja [62]

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.

6 0
2 years ago
Read 2 more answers
A monopolistic seller of sports cars has traced out the following demand curve: 10 customers have willingness to pay (WTP) of $1
Romashka [77]

Answer:

The answer is: 1) II > I > III

Explanation:

<u>Pricing scheme I: $2 million profit</u>

  • Price $150,000
  • Contribution margin = $150,000 - $50,000 = $100,000
  • 35 units sold x $100,000 = $3.5 million
  • profit = $3.5 million - $1.5M = $2 million

<u>Pricing scheme II: 2.25 million profit</u>

  • Price $200,000
  • Contribution margin = $200,000 - $50,000 = $150,000
  • 25 units sold x $150,000 = $3.75 million
  • profit = $3.75 million - $1.5M = $2.25 million

<u>Pricing scheme III: $1.5 million profit</u>

  • Price $250,000
  • Contribution margin = $250,000 - $50,000 = $200,000
  • 15 units sold x $200,000 = $3 million
  • profit = $3 million - $1.5M = $1.5 million

8 0
2 years ago
On January 1, 20Y8, Crabb &amp; Co. sold land to ASP, Inc. and accepted a two-year, $500,000 face value note as payment. 6% inte
jeka94

Answer:

1. Discount

2. $449,298.47

3. $369,298.47 gain

4. land reduces by $80,000, investment increases by $449,298.47, reserves increases by $369,298.47

Explanation:

Question 1

Using the formula below

Price=\frac{I_{1}}{1+r} +\frac{I_{2}+F}{(1+r)^{2}}

where

I = interest rate, which is 6% of 500,000 = 30,000

F = Face value, 500,000

r = borrowing cost = 12%

Therefore, the price of the note at the time it was used for payment was

Price=\frac{30,000}{1.12} +\frac{30,000+500,000}{(1.12)^{2}}

= $449,298.47.

As the price is lower than the face value of the note, the note was issued at a discount.

Question 2

The fair market value of the note is $449,298.47, the compute price in question 1.

Question 3

The gain/loss on the sale of the land

= sale price - purchase price

= $449,298.47 - 80,000

= $369,298.47.

Question 4

The transaction would affect Crabb & Co's balance sheet as follows.

<em>Asset side:</em>

land reduces by $80,000

investment increases by $449,298.47

<em>Equity & liabilities side:</em>

reserves increases by $369,298.47

3 0
2 years ago
Section 2: Adapting to Changes
s2008m [1.1K]

Answer:

6

Explanation:

6 0
2 years ago
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