– in part ii, when discussing the core control systems, consider the components of the flamholtz model

Please write it as if you are writing a report for a manager
Please label them as Question 3 and 4 with subsections (I, ii, iii) but do not copy and paste down the questions
I need them to be single spaced and 12 point Times new roman font
Question #3
– ensure you clearly explain the concept and how it relates to management control
– clearly link the concept to Peloton; you should provide specific example to support your discussion
Question #4
– Ensure you answer the questions clearly and support it with examples
– In part ii, when discussing the core control systems, consider the components of the Flamholtz model
– When providing the non-financial measures, ensure you tie them back the strategy and focus on the objectives the company is trying to achieve

Assignments rubric (1)

This assignment is meant to demonstrate your expertise in building a predictive model using RapidMiner. Using the dataset pre-processed in assignment 1,
Briefly describe how your dataset will be used in predictive modeling
Hint: Make sure you describe your target variable
Import the dataset
Hint: You may follow the steps on the “Importing Data” training video.
Create a prediction model using a Decision Tree:
Provide a screenshot of your process design.
Provide a screenshot of the decision tree model
In 1-2 paragraphs, explain your decision tree model (interpret at least 2 complete rules from the decision tree).
Hint: You may need to rename your attributes, set role, or change the type of attributes.
Rubric
Assignments Rubric (1)
Assignments Rubric (1)
Criteria Ratings Pts
This criterion is linked to a Learning Outcome Data Adequacy/Descriiption
30 to >28.0 pts
Proficient
• The data selected is appropriate for analytics and includes novel data types/measures. • The submission includes a detailed descriiption of the variables to be used for analysis.
28 to >24.0 pts
Competent
• The data selected is appropriate for analytics. • The post includes a detailed descriiption of the variables to be used for analysis.
24 to >0 pts
Novice
• The data selected is not appropriate for analytics. • The post doesn’t include a detailed descriiption of the variables to be used for analysis.
30 pts
This criterion is linked to a Learning Outcome Data Processing – Rapidminer
40 to >38.0 pts
Proficient
• The process created includes additional modules not described in the tutorial videos. • The submission includes screenshots of additional modules and associate results.
38 to >34.0 pts
Competent
• The process created includes all required modules. • The submission includes screenshots of the data process and associate results.
34 to >0 pts
Novice
• The process created doesn’t include all required modules. • The submission doesn’t include screenshots of the data process and associate results.
40 pts
This criterion is linked to a Learning Outcome Results’ Interpretations
30 to >28.0 pts
Proficient
Submission includes descriiption of how the results can be used in business to improve decision making. • Rules of grammar, usage, and punctuation are followed; spelling is correct. • Language is clear and precise; sentences display consistently strong.
28 to >24.0 pts
Competent
• Includes solid interpretations of results. • Submission contains a few grammatical, punctuation and spelling errors. • Spell check, punctuation errors do not interfere with meaning.
24 to >0 pts
Novice
• Lacks solid interpretation of results. • Submission contains numerous grammatical, punctuation, and spelling errors.
30 pts
Total Points: 100

Briefly describe how your dataset will be used in predictive modeling

This assignment is meant to demonstrate your expertise in building a predictive model using RapidMiner. Using the dataset pre-processed in assignment 1,
Briefly describe how your dataset will be used in predictive modeling
Hint: Make sure you describe your target variable
Import the dataset
Hint: You may follow the steps on the “Importing Data” training video.
Create a prediction model using a Decision Tree:
Provide a screenshot of your process design.
Provide a screenshot of the decision tree model
In 1-2 paragraphs, explain your decision tree model (interpret at least 2 complete rules from the decision tree).
Hint: You may need to rename your attributes, set role, or change the type of attributes.
Rubric
Assignments Rubric (1)
Assignments Rubric (1)
Criteria Ratings Pts
This criterion is linked to a Learning Outcome Data Adequacy/Descriiption
30 to >28.0 pts
Proficient
• The data selected is appropriate for analytics and includes novel data types/measures. • The submission includes a detailed descriiption of the variables to be used for analysis.
28 to >24.0 pts
Competent
• The data selected is appropriate for analytics. • The post includes a detailed descriiption of the variables to be used for analysis.
24 to >0 pts
Novice
• The data selected is not appropriate for analytics. • The post doesn’t include a detailed descriiption of the variables to be used for analysis.
30 pts
This criterion is linked to a Learning Outcome Data Processing – Rapidminer
40 to >38.0 pts
Proficient
• The process created includes additional modules not described in the tutorial videos. • The submission includes screenshots of additional modules and associate results.
38 to >34.0 pts
Competent
• The process created includes all required modules. • The submission includes screenshots of the data process and associate results.
34 to >0 pts
Novice
• The process created doesn’t include all required modules. • The submission doesn’t include screenshots of the data process and associate results.
40 pts
This criterion is linked to a Learning Outcome Results’ Interpretations
30 to >28.0 pts
Proficient
Submission includes descriiption of how the results can be used in business to improve decision making. • Rules of grammar, usage, and punctuation are followed; spelling is correct. • Language is clear and precise; sentences display consistently strong.
28 to >24.0 pts
Competent
• Includes solid interpretations of results. • Submission contains a few grammatical, punctuation and spelling errors. • Spell check, punctuation errors do not interfere with meaning.
24 to >0 pts
Novice
• Lacks solid interpretation of results. • Submission contains numerous grammatical, punctuation, and spelling errors.
30 pts
Total Points: 100

What is another noticeable patten in the annual growth rate since the 1980s?

Please answer the 3 questions below with details and analysis.
1. With the foundation formula as designed, can you think of at least one scenarios (with regard to the variables and the determination of the size of grant) under which the grant distribution will lead to completely equal, or close to
completely equal, spending per student across the entire state?
2. What is the one advantage of foundation formula over district power equalization formula? And what is one advantage of district power equalization formula over foundation formula?
3. From the table on state higher education appropriation over the years, which is available from D2L course site’ “Content” file folder under the name “Tables”, one pattern of the growth in appropriation is that the growth rate since the 1980s, on average, has been much slower than that in the two decades prior. What is another noticeable patten in the annual growth rate since the 1980s? And what is the reason behind that pattern?
I have uploaded the table for the 3rd question and also the class notes that is related to the three questions and the textbook as well. Please use them all as your references. Thank you very much

This assignment requires knowledge, understanding and application of capital structure, dividends, valuing projects and firms, npv, irr, investing, business risks and financing)

This assignment requires knowledge, understanding and application of Capital Structure, Dividends, Valuing projects and firms, NPV, IRR, Investing, Business Risks and financing)

This assignment requires knowledge, understanding and application of capital structure, dividends, valuing projects and firms, npv, irr, investing, business risks and financing)

This assignment requires knowledge, understanding and application of Capital Structure, Dividends, Valuing projects and firms, NPV, IRR, Investing, Business Risks and financing)

Would you, as an investor, prefer a stock with a stable or an unstable beta?

b. Would you, as an investor, prefer a stock with a stable or an unstable beta? Why?
c. What assumption does the CAPM make about the time variation of the beta? (Hint: The CAPM is a single-period model) Does this assumption hold for your stock? If not, what implications does this have for the investors using the CAPM to formulate their investment strategy?

If the company uses a 10 percent discount rate for all projects, determine which forklift system should be purchased using the net present value (npv) approach.

q1 ,Since venture capital only invest in startup business, very high-risk investments, explain how venture capital minimize their level of risk?
q2 , Premium Manufacturing Company is evaluating two systems to use in its plant that produces the towers for a windmill power farm. The costs and the cash flows from these systems are shown below. If the company uses a 10 percent discount rate for all projects, determine which forklift system should be purchased using the net present value (NPV) approach. Also, Compute the IRR and Payback Period for each of the two systems. (3 Marks)
Year 0
Year 1
Year 2
Year 3

System 1
-$4,123,450
$1,979,225
$1,358,886
$2,111,497

System 2
-$5,137,410
$1,875,236
$1,765,225
$2,865,110