Assignment Guidance: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. Deliverable Requirements: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. The format of this assignment will be 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. If you are unsure of an Executive Summary, this resource can help with an overview. What is an Executive Summary?Things to Consider: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 has the best potential? What city or cities fall are below the median? What city or cities are in the upper 3rd quartile?Grading Breakdown: 1) Executive Summary – up to 10% a. Please review what an Executive Summary looks like: ▪ What is an Executive Summary? b. Must have cover page. 2) Grammar – up to 10% a. Spell and grammar check your work. b. Make sure you have correct punctuation and complete sentences. 3) State significant predictors – up to 25% a. Must state which predictors are significant at predicting Cost of Living and how do you know. b. Show the comparison to alpha to state your results and conclusion. c. Do these significant predictors make sense, if you want to relocate? 4) Discuss descriptive statistics for the significant predictors – up to 25% a. From the significant predictors, review the mean, median, min, max, Q1 and Q3 values. b. What city or cities fall above or below the median and/or the mean? c. What city or cities are in the upper 3rd quartile? Or the bottom quartile? d. How do these predictors compare to the baseline of NYC? What cost more or less money than NYC? 5) Recommend at least 2 cities to open a second location in – up to 30% a. You must justify your answer for full credit. b. You need to use the Significant Predictors AND Descriptive Statistics in your justification. c. Justification without the use of Significant Predictors WILL NOT get full credit. d. Justification without the use of Descriptive Statistics WILL NOT get full credit. You need to use both. e. For example, let’s look back at London. London at 88.33, is 11.67% less expensive than NYC. But that doesn’t mean London is a good place to open a second location once you discuss the significant predictors and how it relates back to each city. f. Use what you have learned in the course and analyze all the data not just what you see on the surface. g. You must use the numbers and the output to justify your answers. Do not use any outside resources to justify your answer. Only use Significant Predictors AND Descriptive Statistics.

Find the domain of the rational function.g(x) = {x|x is a real number, x ≠ }{x|x is a real number, x ≠ 2}{x|x is a real number}{x|x is a real number, x ≠ , x ≠ 2} --------------------------------Find the domain of the rational function.R(x) = {x|x is a real number, x ≠ 0, x ≠ 1, x ≠ -2}{x|x is a real number, x ≠ 0, x ≠ 1, x ≠ -2, x ≠ }{x|x is a real number, x ≠ 1, x ≠ -2}{x|x is a real number}--------------------------------------Simplify the expression.4(b - 2)4(b + 2)2(b - 8)------------------------------------------Simplify the expression.p-5-------------------------------------------Multiply the rational expressions and simplify.------------------------------------------------Divide the rational expressions and simplify.---------------------------------------Multiply the rational expressions and simplify.-3------------------------------------------------Divide the rational expression and simplify.-----------------------------------------------------Find g(-2) for the function below.g(x) = 2/212/76/29-6/29==============================The total revenue from the sale of a popular book is approximated by the rational function R(x) = , where x is the number of years since publication and R(x) is the total revenue in millions of dollars. Find the total revenue at the end of the second year. Round to the nearest million dollars, if necessary.$250 million dollars$200 million dollars$692 million dollars$500 million dollars

GB513-1: Illustrate business situations through graphs and tables. This Assignment requires you to use Excel to answer the questions and create the charts as specified in the file below. However, when presenting reports in business, you will find that most managers will prefer to read Word documents or PowerPoint slides rather than go through Excel sheets. Being able to move your work from Excel to Word is a valuable skill. For this Assignment, prepare a report by copying all your charts and comments to a Word document and submit that Word file as your Assignment. Clearly label all questions and charts as well as your answers. Make sure to review your grading Rubric. Using Data Analysis in Excel Before any data analysis can be performed using Excel, the Data Analysis Tool must first be installed on your computer. This will help you to successfully follow this tutorial. Once the tool is installed, you can input data to create descriptive statistics. Follow the steps in the video tutorial and try to get the correct result. Question 1 According to T-100 Domestic Market, the top seven airlines in the United States by domestic boarding in a recent year were Southwest Airlines Co. with 81.1 million, Delta Air Lines Inc. with 79.4 million, American Airlines, Inc. with 72.6 million, United Airlines, Inc. with 56.3 million, Northwest Airlines Corp. with 43.3 million, US Airways with 37.8 million, and Continental Airlines with 31.5 million. Using Excel, construct a pie chart and a bar graph to depict this information. Question 2 The U.S. Department of the Interior releases figures on mineral production. The following are the 15 leading states in nonfuel mineral production in the United States in 2008. State Value ($billions) Arizona 8.95 Nevada 6.48 Florida 4.2 Utah 4.17 California 4 Texas 3.8 Minnesota 3.72 Alaska 2.98 Missouri 2.58 Colorado 2.45 GB513: Business Analytics 2 of 3 Michigan 2.96 Wyoming 2.37 Georgia 2.05 New Mexico 1.81 Pennsylvania 1.68 a) Using the appropriate tool in the data analysis toolpak in Excel, calculate the descriptive statistics. Include the summary statistics table in your report. b) Briefly define the meaning of each of the metrics in the summary report you get. c) Comment on all of the figures in the report. What do you learn from these metrics? What are they telling you about this data set? Is it symmetrical, flat, or skewed? Does it have outliers? Question 3 Suppose Procter & Gamble sells 20 million bars of soap per week, but the demand is not constant and production management would like to get a better handle on how sales are distributed over the year. Let the following sales figures given in units of million bars represent the sales of bars per week over 1-year (in no particular order). a) Construct a histogram chart to represent the data using the appropriate tool from the data analysis tool pack. Make sure to specify your own bin ranges otherwise Excel will automatically pick them for you and you will have very strange bin ranges with confusing decimal points. Make a list of numbers in multiples of 5, starting from 10 up to 40; then, show where the bin numbers are in the histogram dialog box. b) Creating a chart is not useful in and of itself unless it is properly interpreted. Write a brief analysis of the graph. What do you see in the graph that might be helpful to the production and sales people? 17.1 14.3 17 25.2 14.4 12.2 11.9 26.3 15.4 10.9 12.8 13.5 17.4 21.5 39.8 30.6 15 20.4 20.7 25.2 13.8 20.3 21.3 26.2 20.6 13.8 22.5 26.9 18.4 23.6 21.4 32.8 20 19.1 23.4 26.3 20.9 20.4 23.1 26.6 11.1 15.4 14.8 24.3 12.5 20.3 21.4 26.2 14.7 24.4 24 23.8