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MATLAB: An Introduction with Applications

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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For the data in the following table, compute the simple exponential smoothing forecast of retail gas
prices with a=0.4. Determine the MSE. Round your answer to four decimal places.
Gas Price
Jul-14 $3.688
Aug-14 $3.565
Sep-14 $3.484
Oct-14 $3.255
Nov-14 $2.997
Dec-14 $2.632
Jan-15 $2.208
Feb-15 $2.301
Mar-15 $2.546
Apr-15 $2.555
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Suppose seafood price and quantity data for the years 2000 and 2009 follow. Use 2000 as the base period. 2000 2000 2009 Seafood Qty. (Ib) Price ($/lb) Price ($/lb) Halibut 75,190 2.01 2.33 Lobster 83,080 3.62 3.09 Tuna 50,779 1.87 1.97 (a) Compute a price relative for each type of seafood. (Round your answers to one decimal place.) Seafood Price Relative Halibut Lobster Tuna (b) Compute a weighted aggregate price index for the seafood catch. (Round your answer to one decimal place.) I2009 %D Comment on the change in seafood prices over the nine-year period. (Enter your percentage as a positive value. Round your answer to one decimal place.) Seafood prices hav v ---Select--- |by % over the 9-year period according to the index. increased decreased
Consider the following data: Monthly Profit of a Gym Feb-12 Mar-12 Apr-12 May-12 Jun-12 Jul-12 Aug-12 Sep-12 6,090 Month Jan-12 Profit ($) 6,500 6.253 5,514 5,357 5,425 6,278 8,119 6,390 Step 3 of 5: Determine the exponentially smoothed forecast for the next time period using a smoothing constant, a, of 0.35. If necessary, round your answer to one decimal place.
Suppose seafood price and quantity data for the years 2000 and 2009 follow. Use 2000 as the base period. 2000 2000 Price ($/lb) 2009 Seafood Qty. (Ib) Price ($/lb) Halibut 75,090 2.01 2.33 Lobster 83,180 3.62 3.09 Tuna 50,779 1.87 1.97 (a) Compute a price relative for each type of seafood. (Round your answers to one decimal place.) Seafood Price Relative Halibut Lobster Tuna (b) Compute a weighted aggregate price index for the seafood catch. (Round your answer to one decimal place.) I 2009 - Comment on the change in seafood prices over the nine-year period. (Enter your percentage as a positive value. Round your answer to one decimal place.) Seafood prices have --Select--- v by % over the 9-year period according to the index.
Use the gas prices data set below to calculate a 3-month Weighted Moving Average (WMA) forecast for the average gas prices and predict the average retail gasoline price for February 2015. Use the weights of 0.6, 0.3, and 0.1 for the 3-month WMA, where the first weight is used for the most recent month and the last weight is used for the least recent month. Round your answer to two decimal places, if necessary. Month-Year Jun-14 Jul-14 Aug-14 Sep-14 Oct-14 Nov-14 Dec-14 Jan-15 Average Gas Price $3.766 $3.688 $3.565 $3.484 $3.255 $2.997 $2.632 $2.208 Copy Data
The table below shows the closing monthly stock prices for Penn Company and Teller, Incorporated. Calculate the exponential three month moving average for both stocks where two-thirds of the average weight is placed on the most recent price, table is in picture
Using exponential smoothing with w=0.8, provide the forecasted values for weeks 3. NOTE: Provide a numerical answer rounded to hundredths. W = 0.8 Week 1 2 3 4 5 6 Sales 190 189 191 191 190 150 Forecast 190 190 190.64 190.93 190.19 e -1.00
The monthly water consumption (thousand liters) and the number of household members in eight private single-family residences is given in the following table: No. of members 12 14 6. 10 8 10 10 Water use (thousand liters) 7 10 5 8 8 10 a. Determine the slope coefficient B1 for the regression of water use given No. of household members. Answer rounded to three decimal places. b. Determine the y-intercept Bo for the regression of water use given No. of household members. Answer rounded to two decimal places. c. Determine the water use for a five-member household. Answer rounded to two decimal places. thousand liters
Consider the following data: Month Jan-14 Feb-14 Profit ($) 16,113 16,263 Monthly Profit of an Auto Repair Shop Mar-14 Apr-14 May-14 Jun-14 Jul-14 Aug-14 Sep-14 15,055 17,117 18,763 17,210 19,141 18,468 20,254 Step 3 of 4: Determine the exponential smoothing forecast for the next time period using a smoothing constant of 0.35. If necessary, round your answer to one decimal place.
Annual revenue for Corning Supplies grew by 5.5% in 2007; 1.1% in 2008; -3.5% in 2009; -1.1% in 2010; and 1.8% in 2011. What is the mean growth annual rate over this period? Round your answer to four decimal places. Do not round intermediate calculations.
The table below represents the monthly unemployment rates in the US from January of 2005 through May of 2016. Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2005 5.3% 5.4% 5.2% 5.2% 5.1% 5.0% 5.0% 4.9% 5.0% 5.0% 5.0% 4.9% 2006 4.7% 4.8% 4.7% 4.7% 4.6% 4.6% 4.7% 4.7% 4.5% 4.4% 4.5% 4.4% 2007 4.6% 4.5% 4.4% 4.5% 4.4% 4.6% 4.7% 4.6% 4.7% 4.7% 4.7% 5.0% 2008 5.0% 4.9% 5.1% 5.0% 5.4% 5.6% 5.8% 6.1% 6.1% 6.5% 6.8% 7.3% 2009 7.8% 8.3% 8.7% 9.0% 9.4% 9.5% 9.5% 9.6% 9.8% 10.0% 9.9% 9.9% 2010 9.7% 9.8% 9.9% 9.9% 9.6% 9.4% 9.5% 9.5% 9.5% 9.5% 9.8% 9.4% 2011 9.1% 9.0% 9.0% 9.1% 9.0% 9.1% 9.0% 9.0% 9.0% 8.8% 8.6% 8.5% 2012 8.2% 8.3% 8.2% 8.2% 8.2% 8.2% 8.2% 8.1% 7.8% 7.8% 7.8% 7.9% 2013 7.9% 7.7% 7.5% 7.5% 7.5% 7.5% 7.3% 7.2%…
3. Below you are given the first four values of a monthly time series of sales. You want to predict the sales of May based the time series data. Month Time Series Value Yt January 120 February 135 March 150 April 175
Suppose seafood price and quantity data for the years 2000 and 2009 follow. Use 2000 as the base period. 2000 2009 Seafood 2000 Qty. (lb) Price ($/lb) Price ($/lb) Halibut 75,190 2.01 2.43 Lobster 83,180 3.72 3.09 Tuna 50,779 1.87 1.97 (a) Compute a price relative for each type of seafood. (Round your answers to one decimal place.) Seafood Price Relative Halibut Lobster Tuna L (b) decimal place.) pute a weighted aggregate price index for the seafood catch. (Round your answer to 2009 = Comment on the change in seafood prices over the nine-year period. (Enter your percentage as a positive value. Round your answer to one decimal place.) Seafood prices have increased by % over the 9-year period according to the index.

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