Consider the following data:MonthJan-14Feb-14Profit ($) 15,507 15,657AnswerMonthly Profit of an Auto Repair ShopMar-14 Apr-14 May-14 Jun-14 Jul-14 Aug-14 Sep-1414,455 16,511 18,163 17,150 19,147 18,402 20,182Step 1 of 4: Determine the three-period moving average for the next time period. If necessary, round your answer to one decimal place.

Moving Average:The m-point moving average is obtained by averaging first m consecutive values. A…

Answered: Consider the following data: Month…

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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The table below lists the percent of a country's population that is foreign-born for selected years. Year 1930 1940 1950 6.7 1960 1970 5.3 1980 1990 2000 2008 Percent 11.4 8.5 4.6 6.5 8.1 10.2 12.3 Answer parts a through e. (a) Plot the data. Let x =0 correspond to the year 1930, x= 10 correspond to 1940, and so on. Choose the correct graph below. OA. B. Oc. OD. Q (0, 80,101 by (0,15,3] (b) Find a quadratic function f(x) = a(x-h) +k that models the data. Use (40,4.6) as the vertex and (20,6.7) as the other point to determine a. f(x) = (Use integers or decimals for any numbers in the expression. Type an integer or decimal rounded to four decimal places as needed.)
A company has the following monthly sales for the past year. Plot the data points on a line graph and describe the results. Month Sales 1 145 2 146 3 145 4 150 5 148 6 150 7 156 8 160 9 158 10 153 11 152 12 154
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
The table below contains real data for the first two decades of AIDS reporting. Year # AIDS cases diagnosed # AIDS deaths Pre-1981 91 29 1981 319 121 1982 1,170 453 1983 3,076 1,482 1984 6,240 3,466 1985 11,776 6,878 1986 19,032 11,987 1987 28,564 16,162 1988 35,447 20,868 1989 42,674 27,591 1990 48,634 31,335 1991 59,660 36,560 1992 78,530 41,055 1993 78,834 44,730 1994 71,874 49,095 1995 68,505 49,456 1996 59,347 38,510 1997 47,149 20,736 1998 38,393 19,005 1999 25,174 18,454 2000 25,522 17,347 2001 25,643 17,402 2002 26,464 16,371 Total 802,118 489,093 Graph "year" versus "# AIDS cases diagnosed" (plot the scatter plot). Do not include pre-1981 data. Perform linear regression. Write the equations. (Round your answers to the nearest whole number. Round r to four decimal places.) (a) Linear Equation: 9 - (b) a = (c) b= (d) (e) n-
John Kittle, an independent insurance agent, uses a five-year moving average to forecast the number of claims made in a single year for one of the large insurance companies he sells for. He has just discovered that a clerk in his employ incorrectly entered the number of claims made four years ago as 1,400 when it should have been 1,200.a. What adjustment should Mr. Kittle make in next year’s forecast to take into account the corrected value of the number of claims four years ago?b. Suppose that Mr. Kittle used simple exponential smoothing with a = .2instead of moving averages to determine his forecast. What adjustment is now required in next year’s forecast? (Note that you do not need to know the value of the forecast for next year in order to solve this problem.)
The population of Ada County, Idaho has been steadily increasing for more than 20 years. The table below shows the population (people) from 2015 through 2019 in Ada County. year 2015 2016 2017 2018 2019 population 432,862 444,486 456,548 468,764 481,587 a. What is the average rate of change in the population of Ada County from 2015 to 2018? Round to the nearest whole person and include units. b. What is the average rate of change in the population of Ada County from 2016 to 2018? Round to the nearest whole person and include units. c. What is the average rate of change in the population of Ada County from 2017 to 2018? Round to the nearest whole person and include units. d. What is the average rate of change in the population of Ada County from 2018 to 2019? Round to the nearest whole person and include units. e. Give a good approximation for the rate at which the population of Ada County is growing by the end of 2018? Round to the nearest whole person and include units.
OFF Home Insert Draw Page Layout Formulas Data Review View B1 v fx Month A B D E G. H. 1 Year Month Sales Dollars 2. 2019 January $717 3 2019 February $838 4 2019 March $859 2019 April $746 2019 May $946 2019 June $727 8. 2019 July August September $998 $801 6. 2019 10 2019 $988 $780 11 2019 October 12 2019 November $866 13 2019 December $826 14 2020 January February $957 15 2020 $851 16 2020 March $917 17 2020 April $888 18 2020 May $845 19 2020 June $998 20 2020 July August September October $995 21 2020 $769 22 2020 $805 23 2020 $916 24 2020 November $724 25 2020 December $941 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40
For the data set, perform a 3 month moving average to determine the forecast for month 13. Show all work in an Excel file. month rate 1 9.5 2 9.3 3 9.4 4 9.6 5 9.8 6 9.7 7 9.8 8 10.5 9 9.9 10 9.7 11 9.6 12 9.6
The average price (in cents) per pound of sugar observed during the period September 2012 to September 2013 in most US cities is displayed in the line graph provided. What was the percentage increase in the price (in cents) per pound of sugar from November 2012 to January 2013? 18.6 Average price of sugar in US cities 17.8 17.0 16.2 15.4 14.6 13.8 13.0 Sep-12 Nov-12 Dec-12 Jan-13 Mar-13 Apr-13 Feb-13 May-13 Jun-13 Jul-13 Sep-13 Oct-12 Aug-13
Consider the following data: Month Profit ($) Answer Monthly Profit of an Auto Repair Shop Jan-14 Feb-14 Mar-14 Apr-14 May-14 Jun-14 Jul-14 Aug-14 Sep-14 15,608 15,758 14,555 16,612 18,263 17,160 19,147 18,413 20,194 Step 2 of 4: Determine the three-period weighted moving average for the next time period with weights of 3 (most recent), 2 (second latest time period), and 1 (oldest time period). If necessary, round your answer to one decimal place. Keypad Keyboard Shortcuts Tables
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.
Susan, a personal trainer, was interested in whether or not there was a linear relationship between the number of visits her clients made to the gym each week and the average amount of time her clients exercised per visit. She took the following data. Client 1 2 3 4 5 6 Number of visits per week 1 3 4 2 3 5 Average time spent exercising per visit (hours) 2 1.5 1 2 2 0.30 Using the best fit line, estimate the average time spent exercising per visit for 4 visits per week. Group of answer choices 1.03 hours 1 hour 10.3 hours 2 hours

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