A marketing company based out of New York City is doing well and is looking to expand internationally.  The CEO and VP of Operations decide to enlist the help of a consulting firm that you work for, to help collect data and analyze market trends.  You work for Mercer Human Resources.  The Mercer Human Resource Consulting website (www.mercer.com) lists prices of certain items in selected cities around the world. They also report an overall cost-of-living index for each city compared to the costs of hundreds of items in New York City (NYC). For example, London at 88.33 is 11.67% less expensive than NYC. More specifically, if you choose to explore the website further you will find a lot of fun and interesting data.  You can explore the website more on your own after the course concludes. https://mobilityexchange.mercer.com/Insights/cost-of-living-rankings#rankings In the Excel document, you will find the 2018 data for 17 cities in the data set Cost of Living. Included are the 2018 cost of living index, cost of a 3-bedroom apartment (per month), price of monthly transportation pass, price of a mid-range bottle of wine, price of a loaf of bread (1 lb.), the price of a gallon of milk and price for a 12 oz. cup of black coffee.  All prices are in U.S. dollars. You use this information to run a Multiple Linear Regression to predict Cost of living, along with calculating various descriptive statistics.  This is given in the Excel output (that is, the MLR has already been calculated.  Your task is to interpret the data).  Based on this information, in which city should you open a second office in?  You must justify your answer.  If you want to recommend 2 or 3 different cities and rank them based on the data and your findings, this is fine as well.  This should be ¾ to 1 page, no more than 1 single-spaced page in length, using 12-point Times New Roman font.  You do not need to do any calculations, but you do need to pick a city to open a second location at and justify your answer based upon the provided results of the Multiple Linear Regression.  What is an Executive Summary? Think of this assignment as the first page of a much longer report, known as an Executive Summary, that essentially summarizes your findings briefly and at a high level.  This needs to be written up neatly and professionally.  This would be something you would present at a board meeting in a corporate environment.To help you make this decision here are some things to consider: Based on the MLR output, what variable(s) is/are significant?  From the significant predictors, review the mean, median, min, max, Q1 and Q3 values?  It might be a good idea to compare these values to what the New York value is for that variable.  Remember New York is the baseline as that is where headquarters are located. Based on the descriptive statistics, for the significant predictors, what city/cities has the best potential?  What city or cities fall above or below the median and/or the mean?  What city or cities are in the upper 3rd quartile? Or the bottom quartile?

Please complete the excel assignment. I have uploaded instructions and the excel sheet that needs to be modified. It is a basic excel course. Just make sure to complete all the steps mentioned in the instructions

Answer the following problems showing your work and explaining (or analyzing) your results. Submit your work in a typed Microsoft Word document. Choose one design method from the list below. Using your example, make a list of 2 or 3 advantages and 2 or 3 disadvantages for using the method. (2 pts) Simple random sampling Systematic sampling Stratified sampling Cluster sampling The name of each student in a class is written on a separate card. The cards are placed in a bag. Three names are picked from the bag. Identify which type of sampling is used and why. (2 pts) A phone company obtains an alphabetical list of names of homeowners in a city. They select every 25th person from the list until a sample of 100 is obtained. They then call these 100 people to advertise their services. Does this sampling plan result in a random sample? What type of sample is it? Explain. (2 pts) The manager of a company wants to investigate job satisfaction among its employees. One morning after a meeting, she talks to all 25 employees who attended. Does this sampling plan result in a random sample? What type of sample is it? Explain. (2 pts) An education expert is researching teaching methods and wishes to interview teachers from a particular school district. She randomly selects 10 schools from the district and interviews all of the teachers at the selected schools. Does this sampling plan result in a random sample? What type of sample is it? Explain. (2 pts) Fifty-one sophomore, 42 junior, and 55 senior students are selected from classes with 516, 428, and 551 students respectively. Identify which type of sampling is used and explain your reasoning. (2 pts) You want to investigate the workplace attitudes concerning new policies that were put into effect. You have funding and support to contact at most 100 people. Choose a design method and discuss the following: Describe the sample design method you will use and why. (2 pts) Specify the population and sample group. Will you include everyone who works for the company, certain departments, full or part-time employees, etc.? (2 pts) Discuss the bias, on the part of both the researcher and participants. (2 pts) A local newspaper wanted to gather information about house sales in the area. It distributed 25,000 electronic surveys to its readers asking questions about house sales in the past 6 months. Of the surveys sent out, 3.2% were returned. The results found that 92% of people did not sell their house in the past 6 months and 85% of people would expect a loss if they sold their house. The writer wants to use these results to conclude that the housing market is declining, and we are headed for a recession. Explain the bias and sampling error in this study. (2 pts) Should the writer conclude that the housing market is declining based upon this data? (2 pts) Why or why not? (2 pts) A homeowner is getting carpet installed. The installer is charging her for 250 square feet. She thinks this is more than the actual space being carpeted. She asks a second installer to measure the space to confirm her doubt. Write the null hypothesis Ho and the alternative hypothesis Ha. (2 pts) Drug A is the usual treatment for depression in graduate students. Pfizer has a new drug, Drug B, that it thinks may be more effective. You have been hired to design the test program. As part of your project briefing, you decide to explain the logic of statistical testing to the people who are going to be working for you. Write the research hypothesis and the null hypothesis. (2 pts) Then construct a table like the one below, displaying the outcomes that would constitute Type I and Type II error. (2 pts) Write a paragraph explaining which error would be more severe, and why. (2 pts) Cough-a-Lot children’s cough syrup is supposed to contain 6 ounces of medicine per bottle. However, since the filling machine is not always precise, there can be variation from bottle to bottle. The amounts in the bottles are normally distributed with ? = 0.3 ounces. A quality assurance inspector measures 10 bottles and finds the following (in ounces): 5.95 6.10 5.98 6.01 6.25 5.85 5.91 6.05 5.88 5.91 Are the results enough evidence to conclude that the bottles are not filled adequately at the labeled amount of 6 ounces per bottle? State the hypothesis you will test. (2 pts) Calculate the test statistic. (2 pts) Find the P-value. (2 pts) What is the conclusion? (2 pts) Calculate a Z score when X = 20, ? = 17, and ? = 3.4. (2 pts) Using a standard normal probabilities table, interpret the results for the Z score in Problem 12. (2 pts) Your babysitter claims that she is underpaid given the current market. Her hourly wage is $12 per hour. You do some research and discover that the average wage in your area is $14 per hour with a standard deviation of 1.9. Calculate the Z score and use the table to find the standard normal probability. Based on your findings, should you give her a raise? Explain your reasoning as to why or why not. (2 pts) Tutor O-Rama claims that their services will raise student SAT math scores at least 50 points. The average score on the math portion of the SAT is ?=350 and ?=35. The 100 students who completed the tutoring program had an average score of 385 points. Is the students’ average score of 385 points significant at the 5% and 1% levels to support Tutor O-Rama’s claim of at least a 50-point increase in the SAT score? (2 pts) Is the Tutor O-Rama students’ average score of 385 points significantly different at the 5% and 1% levels from the average score of 350 points on the math portion of the SAT? What conclusion can you make, based on your results, about the effectiveness of Tutor O-Rama’s tutoring? (2 pts)