There are numerous variables that are believed to be predictors of housing prices, including living area (square feet), number of bedrooms, and number of bathrooms.The data in the Case Study No. 2.xlsx file pertains to a random sample of houses located in a particular geographic area.

• Develop the following simple linear regression models to predict the sale price of a house based upon a 90% level of confidence.Write the regression equation for each model.
  • Sale price based upon square feet of living area.
  • Sale price based upon number of bedrooms.
  • Sale price based upon number of bathrooms.
• Develop the following multiple linear regression models to predict the sale price of a house based upon a 90% level of confidence.Write the regression equation for each model.
  • Sale price based upon square feet of living area and number of bedrooms.
  • Sale price based upon square feet of living area and number of bathrooms.
  • Sale price based upon number of bedrooms and number of bathrooms.
  • Sale price based upon square feet of living area, number of bedrooms, and number of bathrooms.
• Discuss the joint statistical significance of each of the preceding simple and multiple linear regression models at a 90% level of confidence and 95% level of confidence.
• Discuss the individual statistical significance of the coefficient for each independent variable for each of the preceding simple and multiple linear regression models at a 90% level of confidence and 95% level of confidence.
• Compare any of the preceding simple and multiple linear regression models that were found to be jointly and individually statistically significant at a 90% level of confidence and select the preferred regression model. Explain your selection using the appropriate regression statistics.
• Interpret the coefficient for each independent variable (or variables) associated with your selected preferred regression model.
• Using the preferred regression model, predict the sale price of a house with the following values for the independent variables: 3,000 square feet of living area, 3 bedrooms, and 2.5 bathrooms.(Hint: You should only use the values for those independent variables that are specifically associated with your selected preferred regression model.)

Prepare a single Microsoft Excel file using a separate worksheet for each question

You will be expected to:

• perform certain calculations discussed in the assigned reading in order to derive an answer for each problem.
• use Microsoft Excel to complete each problem and submit a single Excel spreadsheet that contains a separate worksheet (i.e., separate tab) for each problem.
• have each worksheet be clearly labeled to identify the associated problem.to show all calculations or other work performed to derive your answer(s) for each problem.
• have your spreadsheet be fully functional (i.e., configured to allow the reader to not only see all numerical values but also be able to see the underlying formula associated with each calculated value).
• to label your work in each worksheet to clearly identify the nature of each piece of data or calculated value.

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all the requirements are in the documents

Let me know if there is anything you need.

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X. Follow the instruction to write 1500words essay

Please go through all instruction very carefully

All the work must be original

Turnitin report is required

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nstructions: The Medical Surge Capacity and Capability document written by Dr. Barbera and his colleagues is the de facto comprehensive document on ramping up healthcare assets in the US to respond to a disaster. It can be found on the US Department of Health and Human Services website at this address: http://www.phe.gov/coi/Documents/MSCC Handbook – A Management System for Integrating Medical and Health Resources During Large-Scale Emergencies.pdf. It describes a systematic approach for managing the medical and public health response to an emergency or disaster. The MSCC handbook identifies recent changes to the Federal emergency response structure, particularly the Federal public health and medical response. It also expands on several concepts described in the first edition of the MSCC handbook to facilitate their implementation. While the tiered approach described in this handbook is consistent with NIMS and the NRP, this revision addresses terminology and concept descriptions to assure consistency with Federal guidance.” This assignment necessitates describing each of the 6 tiers of response for medical assets as it appears in the document. Prepare a slideshow in which you summarize ONE chapter or tier of MSCC. Employ other internet resources, the DHHS website, photos and any other elements to paint a picture for the rest of your class about your chosen chapter. By reading all of the submissions, you will learn about the MSCC document without having to read the entire thing word for word. Be clear and distinct

it has to be 10 slides

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Note: I have already choosen PepsiCo.

You and your group are on the public information team for a large consumer product company (pick one: Nestlé SA, Philip Morris International, Procter & Gamble, PepsiCo, Unilever N.V., Anheuser-Busch InBev, Christian Dior, or LVMH Moët Hennessy Louis Vuitton). You have been tasked with developing a public relations piece (this means it is for the rest of the world not inter-company). This piece is to cover why your company is advocating for more free trade agreements (FTA) for the United States. This piece should cover the pros and cons of a FTA and why most–if not all–companies support them. This is to inform the public so you will need to provide concrete examples and not platitudes.

Here is an example of the type of document I am looking. Also, this is is related to another assignment.

https://ustr.gov/about-us/policy-offices/press-office/press-releases/2019/october/us-wins-75-billion-award-airbus (Links to an external site.)

You should be able to find millions of sources for this, but here are a few;

https://www.trade.gov/fta/ (Links to an external site.)

https://www.economist.com/the-economist-explains/2018/03/14/why-is-free-trade-good (Links to an external site.)

https://www.bbc.com/news/business-38209407 (Links to an external site.)

Be careful quack websites on this.

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