United Dairies, Inc., supplies milk to several independent grocers throughout Dade County, Florida. Managers at United Dairies want to develop a forecast of the number of half-gallons of milk sold per week. Sales data for the past 12 weeks follow.Week SalesO1234567891011340032003000280026002,75024003,10022003,25012 3,150(a) Construct a time series plot.20002,8002,9003,0503400 T3200+30002800WWEE2600-2400220020000 1 2 3 4 5 6 7 8 9 10 11 12Week3,3003,1002,9503,0003,2000 1 2 3 4 5 6 7 8 9 10 11 12WeekWhat type of pattern exists in the data?O The time series plot indicates a trend pattern.O The time series plot indicates a cyclical pattern.O The time series plot indicates a seasonal pattern.The time series plot indicates a horizontal pattern.Ⓡ34003200300028002600-240022002000GO0 1 2 3 4 5 6 7 8 9 10 11 12WeekⓇ✓34003200-300028002600-2400220020000 1 2 3 4 5 6 7 8 9 10 11 12WeekⓇ (b) Use exponential smoothing with a = 0.7 to develop a forecast of demand (in half-gallons) for week 13. (Round your answer to the nearest integer.)half-gallons

It is of interest to use an exponential smoothing with α = 0.7 to find the forecast of demand…

Answered: United Dairies, Inc., supplies milk to…

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 manager of a seafood restaurant was asked to establish a pricing policy on lobster dinners. The manager intends to use the pricing $/LB to predict the lobster sales on each day. The pertinent historical data are collected as shown in the table. Anaswer the following questions. Day Lobster Sold/day Price ($/lb.) 1 171 7.0 2 181 5.2 3 170 6.5 4 179 7.9 5 165 7.0 6 150 5.8 7 178 7.3 x = independent variable. According to this problem, the ∑x = 46.7r i s the coeefficient of correlation. Use the r equation to compute the value of the denominator part of the equation. The value for the r denominator = 414.1142According to this problem, the correlation of coefficient, r, between the two most pertinent variables is = 0.2707a) According to the instructor's lecture, the correlation strength between any two variables can be described as strong , weak , or no correlation. The correlation strength for this problem can be…
please answer within 30 minutes.
16. The following table describes speed post rates from 1975 to 1987 Year: 1975 1976 1977 1978 1979 1980 Rate: 5 5 8 8 10 13 Year: 1981 1982 1983 1984 1985 1986 1987 Rate: 15 18 20 22 25 25 29 Fit a trend line equation. CS Scanned with CamScanner
C8. According to the Pew Research Center (2015), recent immigrants are better educated than earlier immigrants to the United States. The change was attributed to the availability of better education in each region or country of origin. The percentage of immigrants 25 years of age and older who completed at least high school is reported in this table for 1970 to 2013. Write a statement describing the change over time in the percentage who completed at least a high school degree. 1970 1980 1990 2000 2013 Mexico 14 17 26 30 48 Other Central/South America 57 53 60 66 Asia 75 72 75 82 84 48 68 81 87 95 Europe 36 48 52 58 72 Caribbean 81 91 88 85 85 Africa Source: Pew Research Center, Modern Immigration Wave Brings 59 Million to U.S., Driving Population Growth and Change Through 2065, 2015. Retrieved from https://www.pewresearch.org/hispanic/2015/09/28/modern- immigration-wave-brings-59-million-to-u-s-driving-population-growth-and-change-through-2065/ 52
Following shows the numbers of Amazon Prime members in the millions, each quarter from 2016 to 2021. Quarter 2016 2017 2018 2019 2020 2021 1 26 36 48 62 81 98 2 27 37 50 65 83 103 3 29 40 53 69 86 109 4 33 44 57 74 93 117 Construct a line chart using the data. Describe the relationship between the time and number of subscribers.
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
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Charlie Corporation's managers in the stamping department have been studying the overhead cost and the relationship with machine hours. The following are data from the most recent 12 months. Month Overhead Machine hours January 5,030 2,730 February 1,600 600 March 7,210 3,403 April 4,560 2,200 May 6,880 3,411 June 6,520 2,586 July 6,230 3,364 August 5,570 2,411 September 7,728 3,960 October 5,810 2,897 November 4,580 2,207 December 6,010 2,864 The manager of the department has requested a regression analysis of these two variables. The staff person performing the analysis decided to exclude February. She observed the volume of activity was very low for that month because of two factors: a severe flue outbreak and an electrical fire that disrupted operations for about 10 working days. Required: c. Using the least square (regression) analysis, compute the fixed cost. d. Using the least square (regression) analysis, how much are the estimated overheads for…
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squares from the data given below and estimate the sales for 1983 : Calculate trend values by the method of least Year : 1976 1977 1978 1979 1980 Sales of Co. A ( $ lakhs) 70 74 80 86 90 :
please solve within 30 minutes
The data in the accompanying stem-and-leaf plot summarizes the total deposits (in hundreds of millions of dollars) for savings institutions in a particular state. Answer parts (a) through (c) below. Stem Leaves Stem Leaves Stem Leaves 122444 2 5788 5678899 3 12 5 1123444 4 1 777 4. 78 Units: 615 = $65 hundred million ($6.5 billion) ..... Right Skewed Normal Uniform Left Skewed (b) How many savings institutions had total deposits in the 30 hundred millions? There were 2 savings institution(s) that had total deposits in the 30 hundred millions. (c) How many savings institutions had deposits above $40 hundred million? There were 3 savings institution(s) that had total deposits above $40 hundred million. 3.

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