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With the help of a diagram analyse the concept of;
A) Aggregate Demand
Step by step
Solved in 3 steps with 1 images
- 13. List the basic trend patterns within the projection methods and determine which is the most commonly used when analyzing demand.What are the differences among models that forecast the level, trend, and seasonality?Mark Gershon, owner of a musical instrument distributorship, thinks that demand for guitars may be related to the number of television appearances by the popular group Maroon 5 during the previous month. Gershon has collected the data shown in the following table: Maroon 5 TV Appearances Demand for Guitars This exercise contains only part a. a) Graph these data using the point drawing tool. The plotted graph shows a pattern that can be described by: A. Seasonality C. Random variations 3 5 8 7 7 79 3 5 6 6 10 7 B. Trend O D. Cycles 12- 11- 10- 9- 8- 7- 6- 5- 4- 3- 2- 1- 0- Guitar Demand 4 TV Appearances -00 10 11
- Mark Gershon, owner of a musical instrument distributorship, thinks that demand for guitars may be related to the number of television appearances by the popular group Maroon 5 during the previous month. Gershon has collected the data shown in the following table: Maroon 5 TV Appearances Demand for Guitars This exercise contains only part a. a) Graph these data using the point drawing tool. The plotted graph shows a pattern that can be described by: A. Seasonality C. Random variations 3 5 8 7 7 70 3 5 6 6 10 7 B. Trend D. Cycles C 12- 11- 10- 9. 8- 7- 6- 5- 4- 3- 2- 1- 0- 0 Guitar Demand 1 2 3 5 4 TV Appearances 8 9 10 11Using the data in the worksheet "HoneyData" create a correlation table using the Analysis Toolpack in Excel. Using this information, answer the following questions and round your numeric answer to 2 decimal places. The correlation between Production and Average Price is: This means that honey Production and Average Price are negatively/positively correlated. An Increase in Production is associated with an increase/decrease in Average Prices.In business forecasting using multiplicative decomposition which data component do you use to forecast sales outcome with macroeconomic change?
- The following are variables that may cause shifting of aggregate demand (AD) curve. Discuss the effect of increasing these variables to the aggregate demand. Use graphical approach to demonstrate the effect of increasing of each variable and explain why the AD curve shifted. a) Government expenditure (domestic)In your company (electrical goods manufacturing), you want to forecast demand as well of a particular range of Smart TVs. Its monthly sales previous year, are presented in the table below: Month Sales January 400 February 650 March 1,150 April 1,700 May 500 June 900 July 1,150 August 1900 September 600 October 650 November 1,600 December 2050 Based on the above historical sales data: A) Create the corresponding graph and comment on the demand (sales) in terms of in trend, seasonality and periodicity please draw the diagram!!!!Suppose you are given the following information about an economy: Short run Aggregate Supply: SRAS = Y = 5000r+ 14,400 Long run Aggregate Supply: Aggregate Demand: Investment Spending: Consumption Spending: Government Spending: Net Exports (eX – iM): LRAS = Y* = 25,000 AD = Y=C+I+G+NX_ I = 4000 – 250r C = 1000 +0.75(Y – T) G = 2000 NX = 500 Taxes – Transfers: T = 2400 Monetary Policy: Money Demand: Money Market equilibrium: Fisher equation: where i is the nominal interest rate (i.e. when the interest rate is 7%, it means i= 7) r = 2 n м 3 20,000- 2000i M$ = MD i = r+T e. Find the short run equilibrium level of real GDP (Y), and inflation rate (t), in the short run. What is the output gap in the economy? Is it an expansionary or recessionary gap?