2. U.S. Securities and Exchange Committee (SEC)
Tutorial help on Excel® and Word functions can be found on
the Microsoft® Office website. There are also additional
tutorials via the web offering support for Office products.
Green Pastures Static Budget Income Statement Grading Guide
Content
Met
Partially Met
Not Met
Comments:
Based on the static budget report answered
the following questions:
· What was the primary cause(s) of the loss in net income?
· Did management do a good, average, or poor job of
controlling expenses?
· Were management’s decisions to stay competitive sound?
Prepared a flexible budget report for the year.
Based on the flexible budget report, answered the following
questions:
· What was the primary cause(s) of the loss in net income?
· Did management do a good, average, or poor job of
controlling expenses?
· Were management’s decisions to stay competitive sound?
3. Answered the following question:
· What course of action does student recommend for the
management of Green Pastures?
Showed work in Microsoft® Word or Excel®. Completed
calculations/computations using Microsoft® Word or Excel®.
The examination is a minimum 700-to 1050- words in length.
Total Available
Total Earned
105
#/105
Writing Guidelines
Met
Partially Met
Not Met
Comments:
4. The paper—including tables and graphs, headings, title page,
and reference page—is consistent with APA formatting
guidelines and meets course-level requirements.
Intellectual property is recognized with in-text citations and a
reference page.
Paragraph and sentence transitions are present, logical, and
maintain the flow throughout the paper.
Sentences are complete, clear, and concise.
Rules of grammar and usage are followed including spelling and
punctuation.
Total Available
Total Earned
5. 45
#/45
Assignment Total
#
150
#/150
Additional comments:
1. Correlation is not Causation
One of the major misconceptions about correlation is that a
relationship between two variables means causation; that is, one
variable causes changes in the other variable. There is a
particular tendency to make this causal error, when the two
variables seem to be related to each other.
Describe an instance where you have seen correlation
misinterpreted as causation.
Correlation is not causation is a mantra of mine. At one time, I
was not aware of this reality. The biggest mistake I made in
regard to this was the flu shot. I believed erroneously that I
would develop the flu after getting the flu shot. I have since
learned that not only was I not getting the flu, I was developing
an illness that may have been more closely related to my
allergies. The CDC says that we cannot be infected with the flu
virus by the flu vaccine. (CDC) I believed that I was because I
would develop a low-grade fever and ultimately a respiratory
infection. My doctor would tell me that it was impossible but
could not explain why I would develop this illness immediately
after receiving the vaccine. The time of year that I would get
the flu vaccine was shortly after the children returned to school.
In September, fall allergies are at their peak. (Oehler, 2019)
Whether it is mold from leaves falling, illness from the children
6. returning to school and being exposed to new viruses, or fall
pollen allergies, it would cause mild asthma symptoms and
cause serious sinus and respiratory symptoms. Often I would
develop sinus and respiratory infection within a week of
receiving the flu vaccine. It seemed obvious that the correlation
between the vaccine and the symptoms was proof of causation.
Now that I have a formal diagnosis of asthma and am
undergoing treatment, it is less likely that I will develop the
acute symptoms that I once did this time of year, vaccine or no.
I now know that the correlation between the flu vaccine and the
development of flu-like symptoms and infection is not proof of
causation.
2. Linear Regression
The linear regression is one of the regression analyses that used
to assess or estimate the relationships between one dependent
variable and one or more independent variables. The
independent or explanatory variable is used to predict the other
variable. And the dependent variable responds to the
independent variable that also depends on the value of the
independent variable we pick. The equation of linear regression
is in the form of Y = 1 + bx, in which the value of y (dependent
variable) depends on the value of x (independent variable).
In my chosen major of Accounting, we would use the linear
regression to analyze finance or forecast financial statements
for a company. An accountant would often do multiple
regression analyses, such as linear regression to determine how
changes in certain factors of the business will impact the
upcoming revenue and expenses of the company. An accountant
would use linear regression to determine the relationship
between the expected amount of sales and the cost of goods
sold. For example, there may be a high relationship between the
cost of the production machines or the wages of employees. An
accountant can also use linear regression in forecasting the
company’s performance based on different revenue, production
or other factors. For example, there may be a high correlation
7. based on the number of productions, the number of revenue that
the company generates, or the number of the company’s
liabilities.
Title
ABC/123 Version X
1
Green Pastures Static Budget Income Statement ACC/561
Version 7
1
University of Phoenix Material
Green Pastures
Static Budget Income Statement
For the Year Ended December 31, 2017
ActualMaster BudgetDifference
Number of Mares
5260 8 U
Number of Boarding Days
19,00021,9002,900 U
Sales
9. 491 F
Supplies
10,17812,0451,867 F
Total Variable Expenses
178,390192,72014,330 F
Contribution Margin
201,610354,780153,170 U
Less: Fixed Expenses
Depreciation
40,000
40,000
-0-
Insurance