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- P Take a Test - Panela Kancefwere Personal - Microsoft Edge A https/www.mathxl.com/Student/PlayerTest.aspx?testid-2339589008centerwin 2021FL ECON-2301-20005 (T Th 08:00 AM-09:20 AM) Pamela Kamdefwere & 09/25/2112:36 = Test: Exam 1 Question 3 This Test: 64 pts possible Submit Tes st If the current market price is $25, the market will achieve equilibrium by 50- O A. a price increase, increasing the quantity supplied and decreasing the quantity demanded, 45- O B. a price decrease, decreasing the supply and increasing the demand. 40- O C. a price decrease, decreasing the quantity supplied and increasing the quantity demanded. 35- 30- O D. a price increase, increasing the supply and decreasing the demand. 25 20- 15- 10- 5- 0- 100 200 300 400 500 600 700 800 900 1000 1100 Quantity O Time Remaining: 01:24:39 Next 11:59pm Pearcon ($) aoudpls answer these three.. i need to review.. thanks!Each term (3 months) the current group of economics students completed a questionnaire as to how much they would spend on new purchases compared to how much they would save/pay off bills, if they suddenly and unexpectedly received a check for $1,000. The average MPC is shown in the table below. Month in which student poll was taken Average of students’ responses as MPC March 0.41 June 0.30 September 0.22 December 0.56 What do these MPC’s imply about the students’ thinking over the course of the year? (Enter response here.) What is likely happening in the economy during the same period of time?
- nentQu102 Search (Alt+Q) Mailings Review View Help As 三、=、m。田H T AaBbCcDd AaBbCcDd AaBbC AaBbCc =三、 、田 1 Normal 1 No Spac. Heading 1 Heading Paragraph Styles 3) Use the table below to answer the following question. Table 3 Price of Jolt Income Level Jolt Sales $25,000 Price of Coke $1.00/can $1.40/can 2014 $1.00/can 15,000 cases 2015 $1.00/can $1.00/can $25,000 25,000 cases 2016 $1.40/can $35,000 15,000 cases 2017 $1.40/can $1.40/can $35,000 5,000 cases a. Refer to Table 3. What is The Income elasticity of demand for Jolt? b. What type of good is Jolt when it comes to price elasticity of demand? What type of good is Jolt when it comes to income elasticity of demand? d. What is the cross-Price elasticity between Coke and Jolt? Are Coke & Jolt Complements or substitutes? C. e.IF demand equation is Qdx-20+3M assume that the income of individuals are 30ORO. What will be the Qd a. 1500 b. 320 C. 1250 O d. 9201. Multiple Choice The figure below shows the daily number of COVID-19 cases reported to the Robert Koch Institute (RKI) (gray line) as well as the 7-day case counts (each divided by 7) also reported by the RKI as a black line. 30000 Neue Fälle -7-Tage-Fallzahlen (/7) 20000 10000 0 Feb. 20 Apr. 20 Jun. 20 Aug. 20 Okt. 20 Dez. 20 Feb.21 Source: RKI; Own calculation. New Cases (Neue Fälle) and 7-day case counts (7-Tage-Fallzahlen) Which statement is not true about the time series shown. a) The time series New Cases has a weekday effect that is not evident in the time series 7-Day Case Numbers. b) The calculation of 7-day case counts is the application of a moving average over the New Cases.. c) The black line was calculated using the HP filter. d) The black line does not result from the calculation of weekly growth rates. …...
- Part C 3. The manager of a certain gasoline station wants to forecast the demand for the unleaded gasoline next month so that the proper number of gallons can be ordered from the distributor. The manager has accumulated the following data demand for unleaded gasoline from sales during the past eight months. Month Gasoline Demanded (gallons) Mar 900 Given that the forecast for March is 920. Apr 755 May 650 Jun 550 Jul 625 Aug 730 Sept 820 Oct 1 100 a. Compute the exponential smoothed forecast for the demand from April to November. Use a = 0.25. b. Compute the exponential smoothed forecast for the demand from April to November. Use a = 0.45. c. Plot the actual demand and the forecasts determined in part a and b on the same graph and compare them. d. Make a comparative analysis out of your answers in the plotted data. (3-5 sentences)The California Highway Patrol (CHP) routinely compiles car crash data in California. The accompanying table shows shows a portion of the data for Santa Clara county. It shows information on the type of car crash (Head-On or Not Head-On) and light (Daylight or Not Daylight). (You mey find it useful to reference the appropriate table: chi-squere table or Esable) DoictureChck here.for the Excel Data Eile ID Light Not Daylight Daylight Crash Not Head-On Not Head-On 2 290 Not Head-On Not Daylight a. Use the data to construct a contingency table. Crash Type Light Condition Head-On (H) Not Head On (NH) Daylight (D) Not Daylight (ND) b. Specify the competing hypotheses to determine whether crash type is related to light O Ho: Crash Type and Light Condition are dependent HA Crash Type and Light Condition are independent O Ho: Crash Type and Light Condition are independent. HA Crash Type and Light Condition are dependent c-1. Calculate the value of the test statistic. (Round intermediete…Title Suppose that Lynn enjoys coconut oil in her coffee. She has very particular preferences, and she mus Description Suppose that Lynn enjoys coconut oil in her coffee. She has very particular preferences, and she must have exactly two spoonfuls of coconut oil for each cup of coffee. Let C be the number of cups of coffee, and O be the number of spoonfuls of coconut oil. Also, let PC be the price of a cup of coffee. Suppose Lynn has $12 to spend on coffee and coconut oil. Also, the price of coconut oil is $.50 per spoonful.a) Graph Lynnâs Price Consumption Curve for prices, PC = $1, PC = $2, and PC = $3. Please put the number of cups of coffee on the horizontal axis, and the number of spoonfuls of coconut oil on the vertical axis. Be sure to label your graph carefully and accurately.b) Graph Lynnâs demand curve for coffee. You may assume that both coconut oil and coffee are continuous variables so she can consume any amount of coffee and coconut oil that she could afford.…
- Which of the following statements are true about correlation? O A. The correlation describes the tendency of two data series to move together. B. A negative correlation indicates that two data series do not covary with each other. C. The correlation coefficient mesuares the degree of correlation between the two data series. D. A strong positive correlation or strong negative correlation provides evidence of covariation of two data series. O E. A positive correlation indicates that two data series covary with each other.Zeitler’s Department Stores sells its products online and through traditional brick-andmortarstores. The following parallel coordinates plot displays data from a sample of20 customers who purchased clothing from Zeitler’s either online or in-store. The datainclude variables for the customer’s age, annual income, and the distance from the customer’shome to the nearest Zeitler’s store. According to the parallel coordinates plot, howare online customers differentiated from in-store customers?Session 2 Questions 44 and 45 are open-response questions. ws BE SURE TO ANSWERAND LABEL ALL PARTS OF EACH QUESTION. Show all your work (diagrams, tables, or computations) in your Student Answer Booklet. If you do the work in your bhead, explain in writing how you did the work. Write your answer to question 44 in the space provided in vour Student Answer Booklet. The graph below shows the birth rate and the death rate of a mouse population ovet a three-year period. The immigration rate and the emigration rate of the population are equal. 44 Birth Rate and Death Rate of a Mouse Population Year 3 Year 2 Year 1 Time Key Death rate Birth rate a. Describe what happens to the size of the population for each year shown on the graph. Explain your answers. b. Identify three factors that could affect the death rate of the mouse population, and explain why each factor affects the death rate. 100 rient. Birth and Death Rates