Mean Shipping Cost per Unit ($) Base-Period Quantities (Year 1) Products Year 1 Year 5 A 2,500 10.50 15.90 B 5,000 16.25 31.00 6,000 12.20 17.40 D 2,500 20.00 35.50 Use the price data to compute a Paasche index for the shipping cost if year 5 quantities are 4,500, 3,000, 7,500, and 3,000 for products A, B, C, and D, respectively. (Round your answer to the nearest integer.) 1. =
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- Find out the next month after april income by using the forecasting method of the moving average methodThe prices and the numbers of various items produced by a small machine and stamping plant are reported below. Use 2010 as the base. 2010 2018 Item Price (in $) Quantity Price (in $) Quantity Washer 0.07 17,000 0.10 20,000 Cotter pin 0.04 125,000 0.03 130,000 Stove bolt 0.15 40,000 0.15 42,000 Hex nut 0.08 62,000 0.10 65,000 a. Determine the Laspeyres price index. (Round your answer to 2 decimal places.) b. Determine the Paasche price index. (Round your answer to 2 decimal places.)A certain manufacturing company has the following data on quantities shipped and unit costs for each of its four products. Products Base-PeriodQuantities (Year 1) Mean Shipping Costper Unit ($) Year 1 Year 5 A 2,000 10.50 15.90 B 5,000 16.25 32.00 C 6,500 12.20 16.40 D 2,500 20.00 35.50 Use the price data to compute a Paasche index for the shipping cost if year 5 quantities are 4,500, 3,000, 7,500, and 3,000 for products A, B, C, and D, respectively. (Round your answer to the nearest integer.) I5 = ??
- The demand for hand sanitizers is off the charts due to this coronavirus outbreak. People are in desperate need of hand sanitizers. Therefore, FMCGs like Unilever Bangladesh Limited are producing this life-essential product in a bulk amount to help the citizens across Bangladesh to maintain the hygiene standards. Sales figures and profits for the stores are given in the following table. (For the Unit sales, pick any value in between 12-33Units in ascending order). Unit Sales, X Profit (Taka), Y ** 1200 ** 1650 ** 1950 ** 2300 ** 2700 ** 3600 ** 4100 Obtain a regression line for the data. Calculate the profit of a shop for 40 unit sales. Calculate the correlation between unit sales and profit. What is the coefficient of determination of these variables?Mr. William Profit is studying companies going public for the first time. He is particularly interested in the relationship between the size of the offering and the price per share. A sample of 15 companies that recently went public revealed the following information. Size Price Size Price ($ millions), per Share, ($ millions), per Share, Company x y Company x y 1 9.0 10.8 9 160.7 11.3 2 94.4 11.3 10 96.5 10.6 3 27.3 11.2 11 83.0 10.5 4 179.2 11.1 12 23.5 10.3 5 71.9 11.1 13 58.7 10.7 6 97.9 11.2 14 93.8 11.0 7 93.5 11.0 15 34.4 10.8 8 70.0 10.7 Click here for the Excel Data File a. Determine the regression equation. (Round your answers to 4 decimal places.) b-1. State the decision rule for 0.05 significance level: H0: β ≤ 0; H1: β > 0. (Round your answer to 3 decimal places.) b-2. Compute the value of the test statistic. (Round your…The following table gives the prices of some food items in the base year and current year and the quantities sold in the base year and current year. Commodity 2000 2005 Price (K) Quantity Price (K) Quantity A B C 15 20 4 15 5 10 22 27 7 12 4 5 Compute the following price index numbers for 2005 from the above table: i. Laspeyre’s price index number ii. Paasche’s price index number
- Price information for selected foods for 2010 and 2018 is given in the table. Price Quantity Item 2010 2018 2010 2018 Cabbage (pound) $ 0.06 $ 0.05 2,000 1,500 Carrots (bunch) 0.10 0.12 200 200 Peas (quart) 0.20 0.18 400 500 Endive (bunch) 0.15 0.15 100 200 Compute a simple price index for each of the four items. Use 2010 as the base period. (Round your answers to 2 decimal places.)2. Given the data, test whether there is a relationship between the number of years in college (X) of thestudents and their subsequent yearly income at 5% level of significance.Q3The following information was recorded in a toy store: Year 2016 Year 2017 Year 2018 Price Quantity Price Quantity Price Quantity Slime 6 50 9 60 10 56 Sticky tact 2 100 2 105 2 120 Stinky egg 4 60 4 50 6 60 Teddy Bear 10 30 11 26 12 24 Tortoise 8 40 11 39 12 36 Q3The following information was recorded in a toy store: (a) By using the above data, compute the Laspeyres Price Index for year 2018 by using year 2016 as base year. (b) Interpret your answer in part (a)). (c) By using the above data, compute the Paasche Price Index for year 2018 by using year 2016 as base year. (d) Which item has experienced the greatest inflation rate from year 2017 to year 2018? (Just state your answer, no calculation is needed in part (d)).
- The prices and the numbers of various items produced by a small machine and stamping plant are reported below. Use 2010 as the base. 2010 2018 Item Price Quantity Price Quantity Washer $ 0.07 17,000 $ 0.10 20,000 Cotter pin 0.04 125,000 0.03 130,000 Stove bolt 0.15 40,000 0.15 42,000 Hex nut 0.08 62,000 0.10 65,000 a. Determine the simple price indexes. (Round your answers to 2 decimal places.) b. Determine the simple aggregate price index for the two years. (Round your answer to 2 decimal places.) c. Determine the Laspeyres price index. (Round your answer to 2 decimal places.) d. Determine the Paasche price index. (Round your answer to 2 decimal places.) e. Determine Fisher's ideal index. (Round your answer to 2 decimal places.)If a fictional treatment costs a total of $45,000 at today’s value and increases a person’s quality of life from 0.5 to 0.6 for the remainder of the person’s life from age 70 onward, and the person’s expected life span increases from 73 to 75, what is the total gain in QALYs (Quality-adjusted Life Years), and what is the ICER (Incremental Cost-effectiveness Ratio)?Given the following data and seasonal index: Month Sales Year 1 Year 2 Jan 8 8 Feb 7 9 Mar 5 6 Apr 10 11 May 9 12 June 12 16 July 15 20 Aug 20 25 Sept 4 4 Oct 3 2 Nov 8 7 Dec 9 9 (a) Compute the seasonal index using only year 1 data. (b) Determine the deseasonalized demand values using year 2 data and year 1's seasonal indices.