Calculate the Theil index and the Atkinson index (use = 1) of house-hold income for all households and by race (in other words, calculate the inequality measures within racial categories). what would be the code for the above question in stata?
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Calculate the Theil index and the Atkinson index (use = 1) of house-hold income for all households and by race (in other words, calculate the inequality measures within racial categories).
what would be the code for the above question in stata?
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- Do you run your own business or have access to business data? If yes let’s brainstorm about data you would want to collect. Store daily sales in a table like below. Observation Date Sales In Dollars 1 6/30/2021 2512.30 2 7/1/2021 2945.12 Etc. This works if you are selling a single product, or if you want to aggregate all products into one. Aggregation is useful in analysis, but personally I believe it is better to gather data at its lowest form and then aggregate. Suppose you are doing analysis for a simple bakery. By simple I mean a small menu of items, see the table below. Product Acronym Large Loaf (Swiss bread 2 lb. loaf) LL Small Loaf (Swiss bread 1 lb. loaf) SL Banana Bread BB Banana Nut Bread BNB Oatmeal raisin Cookies (1 dozen) OR Chocolate Chip Cookies (1 dozen) CCC Cinnamon Roll (each) CR Relevant information, to start, would include. Product sold (prod), price of the product (p), quantity…The following data give the starting salary for students who recently graduated from a local university and accepted jobs soon after graduation. The starting salary, grade-point average (GPA), and major (business or other) are provided. SALARY $29,500 $46,000 $39,800 $36,500 GPA 3.1 3.5 3.8 2.9 Major Other Business Business Other SALARY $42,000 $31,500 $36,200 GPA 3.4 2.1 2.5 Major Business Other Business Using a computer, develop a regression model that could be used to predict a starting salary based on GPA and major. Use this model to predict the starting salary for a business major with a GPA of 3.0. What does the model say about the starting salary for a business major compared to a non-business major? Do you believe this model is useful in predicting the starting salary? Justify your answer, using the information provided in the computer output.Plot 2 pie charts align horizontally (next to each other horizontally) for India Percent and China Percent with all axis, legend and Title labels using subplot() and explode data for 2015 year for both countries: a) India Percent b) China Percent
- Which of the following correctly represents the coefficient of determination in terms of the variance that is an output from the analysis of variance table?Damon Davis was creating the Drano Plumbing Company's spreadsheet. He determined that the net income would be $50,000. When he tallied the columns on the Balance Sheet, the totals were as follows: debit, $400,000; and credit, $300,000. What was the most likely reason for this discrepancy? If this was not the case, how should he proceed to determine the source of the error?Year Airfare 2004 402.26 2005 391.5 2006 405.48 2007 390.3 2008 400.27 2009 359.91 2010 383.48 2011 402.45 2012 406.13 2013 407.99 2014 411.67 2015 395.7 2016 361.94 2017 352.85 2018 346.49 In R language,1) Conduct time series plot of the average airfare data. Question #1: What patterns do you notice in the time series plot of average annual airfare from 2004 to 2018? (a. horizontal pattern, b. clear upward trend, c. clear seasonal effects, d. clear downward trend) 2) Use a simple moving average with n = 3 (3 years) to calculate a forecast for the average airfare in 2019. Question #2: What is the 2019 forecast for average airfare using the simple moving average technique? (Round to two decimal places) 3) Based on the predicted values up to 2018, calculate accuracy measures (MAE, MSE, RMSE, and MAPE) for the simple moving average method. Question #3: What is the MAE for the simple moving average method?(Round to two decimal places) 4) Use a simple…
- Suppose that you want to increase all three of the resource availabilities in the product mix model simultaneously by the same percentage. You want this percentage to vary from 225% to 50% in increments of 5%. Modify the spreadsheet model slightly so that this sensitivity analysis can be performed with a one- way SolverTable, using the percentage change as the single input. Keep track of the computers produced in row 21, the hours used in the range B26:B28, and the total profit. Discuss the results.Use the 20 year Global Warming Potential (GWP) values in the first Table to calculate an equivalent CO2 emission rate for worldwide greenhouse gas emissions as given in the second table. Assume that total CFCs are divided equally among the three compounds listed. What is the percentage contribution of actual CO2 emissions to the total equivalent CO2? What is the next most important greenhouse gas emission based on this analysis? How do these results compare to those using the 100-year GWP.Produce a table of time poverty rates overall, by age category, and by sex (hint: use the time deficit variable, which is available only for adults). What is the code for this in STATA. How to produce a time poverty table in STATA. what are some of the ways to solve the question, without using prewritten codes.