to be 1 for both of the periods. If n1 > c1, write down the consumption level in the second period and also show the consumption bundle on the graph. (Use these notations while deriving the budget line!)
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- Consider the following actual and forecast demandlevels for Big Mac hamburgers at a local McDonald’s restaurant:DAY ACTUAL DEMAND FORECAST DEMANDMonday 88 88Tuesday 72 88Wednesday 68 84Thursday 48 80FridayThe forecast for Monday was derived by observing Monday’sdemand level and setting Monday’s forecast level equal to this demand level. Subsequent forecasts were derived by using expo-nential smoothing with a smoothing constant of 0.25. Using this exponential smoothing method, what is the forecast for Big Macdemand for Friday?The price of crude oil increased to its highest level due to conditions which impactedsupply. Historically, crude oil has traded at between 70 and 150 USD per barrel. But theprice increased to over 200 USD in March 2022. Growing demand in Canada for crude tobe turned into refined petroleum, coupled with a sharp fall in production in Saudi Arabiahave both been factors in the price increase. Bauxite production in Saudi Arabia for 2017-18 fell 65% year-on-year due to an agreement with OPEC. The Energy InformationAdministration predicts that global consumption of crude oil is likely to be greater thanproduction by 20 million barrels this year.In the US, companies in the steel and alumina industry have put pressure on the USgovernment to relax import controls, warning that otherwise they might run out of petrol.Commentators predict that most steel and alumina producers will be unaffected becausecrude is such a small part of their spending.a. Explain, using supply and demand analysis, why…Prepare a graph of the monthly forecasts and average forecast demand for Garden Room Furniture Ltd., a manufac-turer of outdoor furniture. MONTH PRODUCTION DAYS DEMAND FORECASTJanuary 16 300February 16 300March 23 500April 21 500May 22 800June 22 1000July 21 1200August 20 1500September 20 900October 20 500November 16 300December 16 300
- Piper Gene Munster, the person responsible for a survey dedicated to Apple in which he " found" out an estimated number of IPhones that were sold, has come up with yet another interesting theroy. According to Munsterand the past-week Apple announcement about 1 million IPhones sold, the calculations take to the conclusion that after the price cut,the sales increased up to 200%... By Munster's reckoning, Apple and AT&T were selling an averageof 9,000 IPhones a day before the price reduction, which would have put their quarterly sales at 594,00 as of September 5. By the end of the quarter, he believes Apple will have sold a total of 1.28 million Iphones. What was the price elasticity of demand for IPhones in 2007 prior to the price reduction if the percentage change in price was 40%?3. Dcmand and supply cquations for ricc arc given by Demand: 400 – 10P + 24Q = 0 Supply: 100 + 20P – 148Q = 0 Where Q denotes quantity (in 000s tonnes per annum) and P denotes price (in $ per tonne), Use the matrix inverse method to determine the equilibrium price and equilibrium quantity.If the supply and demand functions for a commodity are 100 + 2(4+ Pa = - (Q.) P₁ = (Q + 2)² E plot each function on the same graph Estimate the quarum price and quarty aigebraicaty and graphicaly w▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪ ‒‒‒‒‒‒‒‒‒‒‒‒wwwwwwwww
- 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)Ewa spends all her 600 PLN bonus on the purchase of sweets and cosmetics. Draw the Ewa's budget line, knowing that her favorite sweets cost PLN 10 per pack and the price of cosmetics is PLN 25. •How will Ewa's situation be affected by the PLN 50 bonus increase? •What will happen if the price of cosmetics increases to PLN 30? •How, from the point of view of initial situation, we will evaluate the following quantitative combinations: –30 packages of sweets and 15 cosmetics –60 packages of sweets and 24 cosmetics –20 packages of sweets and 10 cosmetics –10 packages of sweets and 15 cosmeticsIf the budget line rotates from blue to red: Good A 1200A, OBI (100A, OB) Bligertneone -S0. F-SL S2 (0A, SO8) Good B O The monetary price of B is rising. O The monetary price of B is falling. The monetary price of A is rising. O The monetary price of A is falling. The relative price of A is rising. The relative price of A is falling. The relative price of B is rising. O The relative price of B has fallen.
- Time left 0:56:44 All of the following except one would increase the amount of a particular model of a Ford automobile that buyers would like to buy. Which is the exception? Select one: O a. an increase in buyers' incomes O b. increased prices of other Ford models an expected future increase in the price Ос. O d. a decrease in the price of steel an increase in the population O e. Next ge eg IMG_7969.jpeg JPEGsuppose the price of orange juice rises and the apples falls. what would you expect ti happen to the price and quantity of apple juice? why would the equilibrum quanity increase while the impact onbthe equilbrum price be uncertain?Explain the relationship that economic variables can have with businesscycles. These have both direction and timing. Give an example economicvariable of each combination of direction timing. Of these two attributes, ifyou had exclusive access to a reliable variable, which relationships wouldyou want this variable to have for forecasting purposes
