Activity 2: Taxes and Salary are related to one another when it come to purchasing power which affect entrpreneurs, diagram presented this relationship, explain briefly. SALARY TAXES
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- the following data represents a set do demands that have occurred over the last several years at a soap making company. The data were collected on an annual basis. Year Actual Demand (At) Forecast (Ft) 1 310 2 365 3 395 4 415 5 450 6 465 7 a) using the SIMPLE AVERAGE method to predict the demand for the 7th year b) the SIMPLE MOVING AVERAGE method to predict the demand for the 7th yearGraph Input Tool Market for Research Assistants 20 18 I Wage (Dollars per hour) 4 16 Labor Supplied (Number of workers) Supply Labor Demanded 500 14 (Number of workers) 12 Demand Shifter Supply Shifter 10 8 Demand Tax Levied on Employers (Dollars per hour) Tax Levied on Workers (Dollars per hour) 6. 4 40 80 120 160 200 240 280 320 360 400 LABOR (Number of workers) For each of the proposals, use the previous graph to determine the new number of research assistants hired. Then compute the after-tax amount paid by employers (that is, the wage paid to workers plus any taxes collected from the employers) and the after-tax amount earned by research assistants (that is, the wage received by workers minus any taxes collected from the workers). WAGE (Dollars per hour) +.--MOER The table below shows how supply and demand Price ($/gal) Demand (million of gal.) 1 1.2 790 700 1.4 640 1.6 580 1.95 497 2.2 450 2.4 430 2.6 420 2.8 390 3 360 Note: there is some randomization in the above data to account for price fluctuations. Make sure to check that you input the correct data in your device. Perform the following work • Assume that Supply has a quadratic relationship with the price. Find this relationship (the help buttons contain an article to compute trend-lines in Excel): -21.935p² + 207.365p+339.085 Round your answer to 3 decimal places S(p) ● D(p): = 1.53 • Assume that the Demand has a quadratic relationship with the price. Find this relationship (the help button links to an article to compute trend-lines in Excel): 85.561p² - 543.789p + 1236.729 Round your answer to 3 decimal places Video Solve | Sn... of gasoliine vary depending on the price: Supply (million of gal.) 511 550 600 641 660 680 700 720 735 786 605 - • Use the trendlines to find the price…
- A B C E K L M N A common perception is that airline profits are strongly correlated with the price of oil. The Following are annual net incomes of American Airlines together with the approximate price of oil in the period 2005-2010: 3 a. Populate the table American Net Income (S million) (y) Barrel Oil ($) Year ху (x) 4. 5. 1 2005 56 -850 6 2006 63 250 7. 3 2007 67 450 8. 4 2008 92 -2100 2009 54 -1450 10 6. 2010 71 -700 11 12 13 14 b. What is Ex? 15 16 c. What is Ey 17 18 d. What is n? 19 20 e. What is Exy 21 22 £. What is (Ex²) 23 24 g. What is (Ex) 25 26 h. Obtain a regression line (obtain the coefficients) showing American's net income as a function of the price of oil 27 28 29 30 31 32 i. Obtain the coefficient of correlation r 33 34 35 Use the data analysis tool in Excel to obtain the coefficients in part 1(h). Copy and Paste your regression output 37 below. 36 38 396. A study analyzing college faculty salaries obtained the results shown below. The dependent variable is academic year salary in dollars. Independent variables Intercept Number of textbooks published Number of articles published Number of dissertations supervised Rating of public service Number of university committees served on Years of experience Index of teacher ratings Coefficient 21,155 23,568 586 489 389 156 2,189 530 -9,293 -6,410 21,919 Dummy var. for being an English professor Dummy var. for being female Dummy var. for having a Ph.D. R-squared = 0.68, n = 596 a) Precisely, interpret what the articles published coefficient tells us. c) The R² is 0.68. Precisely, what does this mean? T-statistic 2.35 7.21 5.37 66.85 5.65 10.02 126.92 0.01 18.75 0.80 10.01 b) Do these results support the hypothesis that there is gender discrimination in the academic community? Briefly, why or why not?Given the gellowing hypothetical data on ingut (x) amd tätal Physical Pro duct (TPP) oy xZ corperation. Input (x) Tatal Physical Prě du ct (TPP) Average Physi cal Product CAPP) Marginal Physical Pro du ct (MPP) 3 4 14 3.5 4 24 4 8. 32 4 4 10 38 3.8 3 12 42 3.5 2 14 44 3.14 1 44 2.75 18 42 2.33 -1 20 30 1.5 - 6
- Attempts Keep the Highest/4 1. Price controls in the Florida orange market The following graph shows the annual market for Michigan blueberries, which are sold in units of 50-pound boxes. Use the graph input tool to help you answer the following questions. You will not be graded on any changes you make to this graph. Note: Once you enter a value in a white field, the graph and any corresponding amounts in each grey field will change accordingly. NBK BRB PROCE (Dolar per box) 10 5 • Graph Input Tool Market for Michigan Blueberries Supply Price (Dollars per box) 15 Quantity Demanded 500 Quantity Supplied (Man of box) 210 (Mons of box) Demand 50 100 150 200 250 300 350 400 450 500 QUANTITY (Mons of In this market, the equilibrium price is per box, and the equilibrium quantity of blueberries is million boxes. For each of the prices listed in the following table, determine the quantity of blueberries demanded, the quantity of blueberries supplied, and the direction of pressure exerted on…I Consider the demand for trading cards listed below. Month Demand Jan. 51,000 48,000 Feb. March 55,000 April May 58,000 66,000 June 69,000 80,000 July Aug. 95,000 Use Excel to prepare a forecast for September, October, and November using linear regression Print out the sheet of results, as well as a sheet containing the formulas that you used ( can be used to toggle between displaying values and displaying formulas or you can click on Formulas>Formula Auditing→Show Formulas.) and for the cars is 16.00017. Suppose that the monthly marginal
- I am having some trouble understanding how to graph the LRATC curve for the chart in this questionAnswer plzz with details explaintion....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)
