Hudson Marine provides boats sales, service, and maintenance. Boat trailers are one of its top sales items. Suppose the quarterly sales values for the seven years of historical data are as follows. Do not round intermediate calculations.a. Compute the centered moving average values (first find Four-Quarter Moving Average) for this time series (to 3 decimals).Centered MovingAveraget12345678910111213141516171819202122232425262728Sales5178691616714242212182626202433282322362918284233289.625Year1234567Quarter 1591418242228Quarter 217162426333642Quarter 3B162226282933Quarter 4671220231828Total YearlySales36487290108105131

The data on four quarters of the sales for 7-yearly historical data is given below,YearQuarter…

Answered: ludson Marine provides boats sales,…

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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Old Faithful Listed below are time intervals (min) between eruptions of the Old Faithful geyser. The “recent” times are within the past few years, and the “past” times are from 1995. Does it appear that the variation of the times between eruptions has changed?
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.
year Income (S) B 1994 6036 85.1 20.4 1995 6113 87.8 20.2 Make a forecast of Mr. X's Income for the next five years 1996 6271 88.9 21.3 Make forecast of income for the given values of B =110 and P= 55 1997 6378 94.5 19.9 1998 6727 99.9 18 1999 7027 99.5 19.9 2000 7280 104.2 22.2 2001 7513 106.5 22.3 2002 7728 109.7 23.4 2003 7891 110.8 26.2 2004 8134 113.7 27.1 2005 8322 113 29 2006 8562 116 33.5 2007 9042 108.7 42.8 2008 8867 115.4 35.6 2009 8944 118.9 32.2 2010 9175 127.4 33.7 2011 9381 123.5 34.4 2012 9735 117.9 48.5 2013 9829 105.4 66.1 2014 9722 103.2 62.4 2015 9769 104.2 58.6 2016 9725 103.7 56.7 2017 9930 105.7 55.5 2018 10419 105.5 57.3 2019 10625 106.5 53.7 2020 10905 107.3 52.6
Please help with the corrected answers in details: The following time series shows the sales of a particular product over the past 12 months. Month Sales 1 105 2 135 3 120 4 105 5 90 6 120 7 145 8 140 9 100 10 80 11 100 12 110 What type of pattern exists in the data? The data appear to follow a trend pattern. The data appear to follow a horizontal pattern. The data appear to follow a cyclical pattern.The data appear to follow a seasonal pattern. (b) Use ? = 0.2 to compute the exponential smoothing values for the time series. (Round your answers to two decimal places.) Month t Time Series Value Yt Forecast Ft 1 105 2 135 3 120 4 105 5 90 6 120 7 145 8 140 9 100 10 80 11 100 12 110 (c) Use a smoothing constant of ? = 0.4 to compute the exponential smoothing forecasts. (Round your answers to two decimal places.) Month t Time Series Value Yt Forecast Ft 1 105 2 135…
The data for this problem are the air freight shipments (in ton-miles) each month (beginning in January for one year) in the U. S. for 10 years. The following is a time series plot of this data. What are the most important features of this plot? Ton-miles 3000- 2500- 2000- 1500- 1000- 1 Time Series Plot of Ton-miles ܚ ܪܘܐܐܐ ܘ ܚܐ ܀ 12 24 36 48 60 Index 72 84 96 108 120
I need help with part b, c and d
PART A The following table shows quarterly sales (in thousand units) for a product over 4 years. The overall sales average for the entire 4 years is 156.5625 (thousand units). Fill in the missing values assuming there is no trend. Round seasonal indexes to 4 decimal places. Report Averages accurate to at most 2 decimal places. Report Actual sales ('000) accurate to the nearest integer. Year 1 Year 2 Year 3 Year 4 Average Seasonal Index Quarter 1 86 93 95 0.6004 Quarter 2 205 207 198 1.2838 Quarter 3 154 159 153 175 160.2 1.023 Quarter 4 184 167 158 175 171 1.092 PART B Suppose actual quarterly sales (in thousands) for Year 5 are 82, 196, 178, and 180 respectively. Assuming there is no trend, forecast sales for the four quarters of Year 5. Use seasonal indexes (rounded to 4 decimal places) from Part A. Report forecast answers as integers accurate to the nearest thousand. Quarter 1 forecast = thousand Quarter 2 forecast= thousand Quarter 3 forecast= thousand Quarter 4 forecast= thousand…
please help me solve these
The following graph shows the average grade point average for a particular college from 2004 until 2011. Average GPA 3.20 OA OC OD 3.15 3.10 3.05 3.00 2.95 2.90 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 Year Which one of the following statements is correct? A) Historically, the Average GPA of the college tends to decrease. B) There appears to be no relationship between Year and Average GPA. C) Year is the dependent variable in the graph. D) Average GPA is the dependent variable in the graph.

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