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- Can you explain what these two belows mean in regard of GMM and Maximum likelihood. What are we calculating and what is it used to Unconstrained optimizationConstrained optimizatioDefine the term, the variation of PW?Fiting a straight ine to a set of data yields the following predicion line. Complete (a) through (e) below a. Interpret the meaning of the Yintercept, Choose the correct anower below O A. The Yintercept, be =4, imples that the average value of Yis 4. OB. The Yintercept, b7, implies that when the value of Xs0, the mean value of Yis 7 OC. The Yantercept, by4, implies that tor each increase of 1 unt in X, the value ofYa expected to increase by 4 unts •D. The Yintercept, 4, implies that when the value of Xis 0, the mean value of Y is 4 b. Interpret the meaning of the slope, b Choose the comect answer below OA The slope, by4, implies that for each increase of 1 unit in X, the value of Yis expected to increase by 4 units OB. The slope, by =7, implies that the average value of Y is 7. O C. The slope, b,=7, imples that for each increase of 1 unit in X, the value of Y is expected to increase by 7 units %3D OD. The slope, b,7, implies that for each increase of 1 unit in X, the value of Yis…
- Plastic cups are made by forming of raw plastic. The price of plastic is 4.500 OMR per kg and the price of plastic cups is 13 OMR per 1000 cups. Plant requires differ- ent machine which cost about 50,000 OMR, but the machines has to be imported, after paying 25% as customs duty. On a graph paper, draw a freehand graph and represent all important parameters. Due to increase in plastic price, the break-even quantity has increased by 10%. Find out the new plastic price?5. Consider the process where S0 = 0 and {ut : t ∈ Z} is an i.i.d. random variable with N(0,σ2). a) DeterminethemeanandcovariancefunctionoftheprocessSt.Isthisprocessstrictlystationary?Second-order stationary? b) Show that the process Yt = (1 − L)St , t = 1,2,... is strictly stationary. Compute its mean and autocovariance function.Give typing answer with explanation and conclusion Suppose that the government must undertake an irreversible policy decision regarding the extent of air pollution regulation. The government is making this decision in a situation of uncertainty, however. In particular, there is some probability p that the benefits will remain the same as they are this year for all future years, but there is some probability 1 - p that benefits will be less in all future years. If we take into consideration the multiperiod aspects, should we err on the side of overregulation or underregulation, compared to what we would do in a single-period choice?
- := 1:36 MicrolnternationalProject 5G 49 Done International Aspect of Project Homework Below is an except pasted from a semester project for this course (broken into two pieces). Your task is to respond to this prompt and to cite at least one source. For this assignment, the source may be scholarly or from a periodical. Your source should be documented as a reference using APA style. Be sure to respond to the prompt using concepts from our course. You may use models to illustrate your points. 1. American solar farms receive billions of dollars in taxpayer subsidies each year. These subsidies allow them to substitute grain production for energy production. How do U.S. solar farm subsidies hurt or benefit Mexican farmers? 2. What does this imply for U.S. food production independence? What could be done to address this problem, and would the solution be effective? Notice, having a positive effect, a negative effect or no net-effect is a possibility on Mexican farmers. Whatever your answer,…The effect of Covid-19 in Small Medium Enterprise (SME) in Malaysia. kindly if you just write some theoritcal data in form of a table,it would be helpful..asnwer for 2.
- OA linear regression model is Units 3,414-0.839xWeek. For week 45, what is the forecast for the number of units? Round your answer to the nearest whole number. OO unitsPaw Patrol Inc. manufactures toys for kids from 1 to 10 years old. The summary of toy sales by month in 2017 and 2018 is as follows: Dt April May 2018 18600 Period Demand 18716 June 19235 2017 September 19400 July August 19500 October 18300 19753 November 17200 September 18320 December 14998 October 17652 2018 January February March 19800 November 16200 19555 December 15563 19800 What is the Mean Absolute Deviation (MAD), when using the weighted 4-period moving average technique? Use weights of 0.6, 0.2, 0.1, and 0.1 for the most recent period, the second most recent period, the third most recent period, and the fourth most recent period, respectively. O 5445 O 1256 O 1555 O 4450 O 1140Solve the second graph! plsss