Using the data in the table below, construct a weighted 3-Period Moving Average  Period       Actual Sales January    5025 February   7785 March       19360 April          4580 May          16550 June          8870 July          9275 August          3350

Q: Findthe fondimenld.mArrixand gunardsohklmı to -706

A:

Q: Suppose that the Producer Price Index and the sales of Hoskin's Wholesale Distributors for 2006 and…

A: Given:  Hoskin’s Wholesale Distributors for 2006 and 2018 are:

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Q: Grade 9 2.4. Simplify and Calculate 3 x 59 2.4.1. 57 2n+1. 8n-1 2.4.2. 2n+1

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Q: Last month, the Women's Hospital reported 123 obstetrical discharges and five deaths. (The deaths…

A:

Q: 7. 2/3

A: Given, 1x=23-56

Q: The monthly wags and cost of living index numbers for each year 1995 to 2000 are given below: Year…

A:

Q: What is the no. of conversion per year (m) for a quarterly basis?

A: We know that a year contains 12 months in total

Q: 0.1931

A: Given that, Population mean,μ=100 Population standard deviation, σ=15 The shaded area is to the…

Q: please answer in text form and in proper format answer with must explanation , calculation for each…

A:

Q: It is known that 1000 candidates on average pass the annual qualification exam for logistics…

A: Here, 1000 candidates on average pass the annual qualification exam for logistics engineers in the…

Q: Round 0.000537 to two significant figures

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Q: closest to 1 whole 9 DESPERDES 10. 10 11 F

A:

Q: In recent years, due to low interest rates, many homeowners refinanced their home mortgages. Linda…

A: Sample  size(n)=20The given data already arranged in ascending order

Q: show that 3. 2. 5/-

A:

Q: suppose the department of energy in the philippines surveyed 200 gasoline stations to determine the…

A: a)In the given case, gasoline at all the gas stations is the population whereas the gas stations…

Q: .8335 2ndrarmalede (-10,0001.96 0. c. 0.0128

A: Given data P(Z > z) = 0.0128 1 – P(Z>z) = 1 – 0.0128 P(Z<z) = 1 – P(Z > z) = 1 – 0.0128…

Q: 2/8 – 7/32 =

A:

Q: Write each number in standard form. (Examples 1 and 2) 1. 3.16 x 103 = 2. 1.1 × 10¬4 = 3. 2.52 ×…

A:

Q: trend ánd short-term fluctuations of the given data: year: 1968 1969 1970 1971 1972 1973 1974 1975…

A:

Q: use liheaV approxTmation to estimate:

A:

Q: Please give an analysis of the photo. Thank you

A: Given

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A: It is give that, Mean retail price per pound of chicken in 2010 = $1.54 The retail price of chicken…

Q: House of coffees imports and distributes coffee to over 300 retailers countrywide. Data for 2007 and…

A: Given that

Q: 5) The ages (X) of ten second-hand cars and their km values (Y) are given below. a) Calculate the…

A: Solution: n= 7 observation x y xy x^2 y^2 4.8 45 216 23.04 2025 2.5 26 65 6.25 676 5.5 50…

Q: In the early 2000s interest rates were low so many homeowners refinanced their home mortgages. Linda…

A: Data : 59.2, 59.5, 61.6, 65.5, 66.6, 72.9, 74.8, 77.3, 79.2, 83.7, 85.6, 85.8, 86.6, 87.0, 87.1,…

Q: 1. 4. 7. 10. X X X X 4.3 .8 35.44 20.3 1.6 14.21 13.5 .50 ,675 6.92 .43 Multiplying Decimals 2. 5.…

A: Given that we need to find the value of  0.05× .92

Q: 2015 2016 Weight Robberies 13 8 Car thefts 15 22 249 185 4 Cycle thefts Pocket Picking 328 259 1…

A: The following data is given:   2015 2016 Weight Robberies 13 8 6 Car thefts 15 22 5 Cycle…

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Q: Rank the following from largest value to smallest value

A: ranking from largest value to smallest value

Q: 2. 1.89 VRMS, 1 VAVE,

A: Sol

Q: Calculate the following values UCL, if you know that MD=40 and N= 15

A:

Q: estimate e−0.015

A:

Q: 1. 2. 89.6 8 -D

A: We have to find  89.68

Q: There is a machine that costs $4075, has a life of 6 years and no salvage value. The capitalized…

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Q: 15. 0 = 19. r = 4seco 4 풍 풍 k|2 2 3m 3 +0 6 6

A:

Forecasting in Business

Forecasting is the process of predicting the future based on the past and the present data and circumstances. In other words, forecasting is the act of making a detailed analysis of future events based on the decisions made in the past as well as the present. Forecasting plays a very important role in operational management as it helps in planning and decision-making. It is not only important for the success of a business but also contributes to individual growth and success. Many business organizations or companies have failed due to the shortcomings of their forecasting.