Quarterly sales of a local department store over a 4-year period are given below: Quarters 2016 Q1 Sales (in millions) 500 Quarters 2018 Q1 Sales (in millions) 560 2016 Q2 490 580 2018 Q2 2018 Q3 2018 Q4 2019 Q1 2019 Q2 2016 Q3 570 630 2016 Q4 2017 Q1 2017 Q2 750 720 480 540 500 590 2017 Q3 580 2019 Q3 620 2017 Q4 740 2019 Q4 790 The data shows sign of seasonality. By computing seasonal indices for each quarter, forecast the sales for each quarter in year 2020, given that the estimated sales in 2020 is

Q: 2. Seasonality Index table Period Year Seasonality Index (SI) 2021-period 1 2021-period 2…

A: Since the first question is incomplete we have answered the second question with the available data…

Q: Find Trend adjusted exponential forecast for predicting the sales of the data below for period 11…

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Q: The owner of Darkest Tans Unlimited in a local mall is forecasting this month's (October's) demand…

A: The following formula for exponential smoothing forecast  (Alpha*Actual demand)+(1-alpha)*Forecast…

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Q: Given the following history, use a three-quarter moving average to forecast the demand for the third…

A:

Q: What are deseasonalized sales for quarter 2? 973.1 1052.5 1291.5

A: Find the given details below:

Q: The following tabulations are actual sales of units for six months. (assume F1 = A1) a. Calculate…

A: Exponential smoothing is determined with following formula: Current forecast = α * Actual cost of…

Q: Consider the data below for the sales of widgets: 1. Using seasonal percentages or seasonal indexes,…

A: Here, for the year 4, the annual widgets sales are 1500I will determine the seasonal index for each…

Q: The following table gives the number of pints of type A blood used at Damascus Hospital in the past…

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Q: Employing a 4 period moving average, forecast periods 5-8 and determine the forecast error (round 2…

A: 4 Period Moving Average forecast = sum of the actual demand of last 4 periods / 4…

Q: The following tabulations are actual sales of units for six months. (assume F1 = A1) a. Calculate…

A: Sales forecasts are estimates of future sales based on historical sales data and other pertinent…

Q: The owner of Darkest Tans Unlimited in a local mall is forecasting this month's (October's) demand…

A:

Q: a) Compute MAD and MAPE for management's technique. b) Do management's results outperform (i.e.,…

A: MAD stands for mean absolute deviations  MSE stands for mean squared error.

Q: DETERMINE  I) the adjusted seasonal indexes ofautumn: II) the de-seasonalised of period 1:   III)…

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A: Moving average method is quite possibly the most famous quantitative techniques utilized sought…

Q: The monthly sales for Yazici​ Batteries, Inc., were as​ follows:…

A: The trend projection approach is based on the premise that the factors that influenced past trends…

Q: Quarterly sales of a local department store over a 4-year period are given below: Quarters Sales (in…

A: Given Information:   Year Quarter1 Quarter2 Quarter3 Quarter4 2016 500 490 570…

Q: From the following time series data of sale project the sales for the next three years. Year 2001…

A: Given sales data- Years Sales (In 000's) 2001 80 2002 90 2003 92 2004 83 2005 94 2006…

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Q: 1. Favors Distribution Company purchases small imported trinkets in bulk, packages them, and sells…

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Q: Consider the following from an estate agent business: Month       Houses Sold Jan…

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Q: Year Season Sales 2018 Winter 40 2018 Spring 29 2018 Summer 31 2018 Fall 40 2019 Winter 102 2019…

A: Find the given details below:

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A: A moving average, which is the average of any subset of values, is a method for gaining a general…

Q: For the given forecast, the tracking signal = MADS (round your response to two decimal places).

A: The tracking system is a concept that helps to analyze the performance of a forecasting method or…

Q: easonal method find the s

A: Quarter  Demand Factor 1 125   2 225   3 75   4 350   Total 775

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.