Base on these PDF files: My second question is below:From the Oztunc, Oo and Serin article, we are left facing a rather important fact. Women in the developing world matter and collectively can play a tremendous role in advancing long-term economic development. The authors do a good job of identifying development factors/measures associated with human capital development among women. Using your own sociological imaginations and the knowledge you are armed with from previous readings and discussions, how should developing countries approach the relationship between gender, human capital development and economic development?

The table below features three forecasting models used on the same set of data. Model 1 Model 2 Model 3 Type Exponential Smoothing Regression Seasonal & Trend MSE 8755.3 4876.2 5945.8 Based solely on the information in this output, which of the following is the best answer?(5) The data set contains no trend or seasonality. The data set contains trend but no seasonality. The data set contains seasonality but no trend. The data set probably contains cyclicality. The data set contains both trend and seasonality. In a forecasting application for 20 time periods, there are 10 negative errors and 10 positive errors.This indicates the model is performing well.(2) True False Refer to the following graph: Which of the following apply?(8) The data contain a trend component. The data contain a seasonal component. The data ,contain a cyclical component. The data contain an irregular (random) component. In #3, which method (if any) is most appropriate?(4) Exponential smoothing. Regression. Regression with seasonal indices. None of the above. In #3, which of the following is most appropriate regarding sales?(4) We should use all of the data in our model. We should use only periods 5-16 in our model. We should use only periods 9-16 in our model. We should use only periods 13-16 in our model. We should use only periods 1-12 in our model. Refer to the Excel output on the final pages.Here, we are tracking the number of orders placed by week for a 20-week period.The first set of output is for an exponential smoothing model with α = 0.25.The second set of output is for a regression.Which of the following is most appropriate?(3) The exponential smoothing model is most appropriate. The regression is most appropriate. Another model would be more appropriate. The model with the lower MSE is always the most appropriate model.(2) True False In a given application, we are using regression with seasonal indices.The regression model is y = 42 + 2.5t.The seasonal indices for quarters 1-4 are 0.85, 0.92, 0.98, and 1.25, respectively.The predicted value for period 20 is ___________.(5) If our data contains seasonality but no trend, exponential smoothing is appropriate.(2) True False Annual data can exhibit seasonality.(2) True False We can assess quarterly seasonality with one year of data.(2) True False Week OrdersForecastErrorError^2145#N/A#N/A256451112136547.7517.25297.562546352.062510.9375119.628955454.79688-0.796880.6350166054.597665.40234429.1853275455.94824-1.948243.79564886055.461184.53881820.6008795656.59589-0.595890.35508105756.446910.5530850.305903115056.58519-6.5851943.36467126154.938896.0611136.73706134756.45417-9.4541789.38128145654.090631.9093753.645712155554.567970.4320310.186651165254.67598-2.675987.160852175754.006982.9930178.958153185854.755243.24476310.52849196155.566435.43357229.52371204756.92482-9.9248298.50207MSE =48.47673SUMMARY OUTPUTRegression StatisticsMultiple R0.139263R Square0.019394Adjusted R Square-0.03508Standard Error5.524367Observations20ANOVA dfSSMSFSignificance FRegression110.8646610.864660.3560010.558166112Residual18549.335330.51863Total19560.2 CoefficientsStandard Errort StatP-valueIntercept57.042112.56624222.227871.54E-14Week -0.127820.214226-0.596660.558166

Week 3 DiscussionIn this week's discussion your are going to be the CEO of a company. In anticipation of the upcoming quarterly disclosure of profits, you prepare your Board of Directors for the challenge that cost-push inflation having on profits. Please make yourself CEO of only one of these hypothetical companies.All America Grocery Inc - We serve communities in the middle of the income market providing low prices for all basic grocery needs. Our modest income consumers expect goods deals on good quality foods. The Covid-19 pandemic has put upward pressure on the price of everything we sell. We have also experience rising cost in every aspect of our operation as we have to put extra resources in to protecting both our employees and the public. We are both fortunate and unfortunate that the price elasticity of demand for food is .20.Very Big US Auto - Very Big US Auto is one of the oldest and one of the largest auto manufacturers of autos in the US. Very Big US Auto's supply chain is highly dependent components manufactured in China and assembled in the US. Like the US economy the Chinese continue to have major stoppage in production due to Covid-19. Additionally manufacturing facilities like ours must take extra precaution to keep workers safe. Costs are rising we are experiencing rising costs. Very Big US Auto know that demand is relatively elastic with a price elasticity of demand of 1.2. We also know that the supply of auto is relatively inelastic and all our competitors are facing the same cost increase.Big Time Entertainment - Big Time Entertainment is a nationwide firm providing movies, arcades and other entertainment venues such as bowling and roller skating. Our operations have been heavily impacted during the Covid-19 pandemic. On reopening we have been faced with a host of regulations that have greatly increased our cost of operation, everything to operating far below our optimal number of patron to higher cost for cleaning and other measure to protect the public and our employees. Price elasticity of demand is 1.6 and we are also face with competitors, online entertainment and gaming, that are not experiencing these cost pressures.Now explain:Is the demand curve for your product relatively elastic, inelastic or unitary elastic? Demonstrate for your company's product, by how much the quantity demanded will change if you pass on a 10% increase in cost. In other words, show your calculation of the percentage change in the quantity demanded given a 10% change in your price. You must provide a calculations showing the percentage change in quantity demanded.Given your company's and price elasticity of demand and the industry supply/competitive environment you face prepare a statement for your board as to the potential impact on profits. Who will pay the larger share of the cost increases, your firm or your customers?Clarification on policy on references. In general you will not actually need a reference to reply to a discussion. These are problem solving exercise. You are creating a solution, but you may chose to use a reference. If you do use a reference, it must be an academically credible reference. Remember that the reference you select is part of your credibility. Never use investopedia, wikipedia, or any other predia. These are not acceptable. Use of one of these will mean zero credit on the exercise.Second, the discussions are a learning activity. We will assess your progress on the topic, but that is not a grade. If you have not mastered all the insights, you will find feedback to help you improve your understanding. Use that to do additional post to improve and we will re-assess our evaluation.