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: Month 1 2 3 4 5 No. of Cases 105 115 120 120 125 Month 6 7 8 9 10 No. of Cases 125 130 140 145 150…

A: Given data is

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

A: Solution The trend adjusted exponential smoothing include calculation of level and trend value to…

Q: The following gives the number of accidents that occurred on Florida State Highway 101 during the…

A: Here, the question is for linear regression using the least square method. We have to find the trend…

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…

Q: If a three-month moving average is used to smooth this series, what would have been the forecast for…

A: The objective of the question is to calculate the forecast for May using a three-month moving…

Q: Develop a forecast for the fourth quarter using a three-quarter, weighted moving average. Weight the…

A: In the given data, actual sales are presented over the past 21 months, There are four quarters in…

Q: Using the given table compute for Mean Absolute Deviation (MAD). Using the given table compute for…

A: Forecasting is the process of prediction in which sales demand is estimated using historic…

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

A: The forecast for a period  is based on the average of the actual data of previous 3 periods…

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 are monthly actual and forecast demand levels for May through December for units of a…

A: Given data: Month Actual Forecast May  100 100 June 78 104 July 108 97 August 112 104…

Q: The following gives the number of accidents that occurred on Florida State Highway 101 during the…

A: x = number of month

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

A:

Q: Q5: The following data represent the sales of the National Tigers Company for the period from…

A:

Q: The San Diego Freeway 405 in Southern California showed the number of accidents during the past 6…

A: Given, The table for month and accidents. Least square regression line is given by, Y = b * X + a

Q: Given the sales data, compute the seasonal index for each period and forecast demand each period…

A: Given sales data - Quarter Year 1 Year 2 1 350 370 2 490 560 3 560 590 4 250 310

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: The following are monthly actual and forecast demand levels for May through December for units of a…

A: A tracking signal is a tool utilized in statistics and management science to observe forecasts and…

Q: The following gives the number of accidents that occured on Florida State Highway 101 during the…

A: Find the given details below:

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

A: Four period moving average refers to the mean value pertaining to 4 periods under observation. It…

Q: What would this year's forecast be if we were using the naive approach

A: Naive forecasting is an approach that considers the actual demand from previous period as the…

Q: The owner of Leisure Boutique in a local mall is reviewing their forecasting model for errors.…

A: To find: The cumulative forecast error. Formula used: The error in forecast is obtained by, E=A-F…

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: Make a forecast of the demand for the month of January and February

A: Forecasting: Forecasting is a process of predicting data or demand for upcoming week, month or year…

Q: Forecasts and actual sales of digital music players at Just Say Music are as follows:   Month…

A: The forecast and actual sales for 8 months is given below:

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…

Q: Here are the data for the past 21 months for actual sales of a particular product: LAST YEAR THIS…

A: Most Recent Quarter = 0.50 Second most recent Quarter = 0.25 Third most recent Quarter = 0.25

Q: Jse the data set below to answer the following questions: Gunakan set data di bawah untuk menjawab…

A: Find the Given Details below:

Q: From the following annual data of sales (in 000 .$.) Find the trend values by using least square…

A: In order to predict future values or events, trend analysis uses historical data. The least-squares…

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

A: Note: - Since all the questions are different from each other and they are not subparts, we will…

Q: Calculate the MAE (or MAD).

A: Mean absolute error is a measuring unit which is used in forecasting theories. It helps in comparing…

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: The following are monthly actual and forecast demand levels for May through December for units of a…

A: A tracking signal is a tool utilized in statistics and management science to observe forecasts and…

Q: Find the coefficient of determination (P). The coefficient of determination ? (Enter your response…

A: When forecasting the effects of a particular event, this coefficient of determination is indeed a…

Q: easonal method find the s

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

Q: The following data are for calculator sales in units at an electronics store over the past nine…

A:

Q: For the data below, compute the MAD, MSE, and bias:   FORECAST SALES ACTUAL SALES 100 105 110…

A:

Q: The following data are for calculator sales in units at an electronics store over the past nine…

A: Given Sales data-

Q: If the initial forecast for month 1 was 650 units and the trend over that period was 0 units,…

A: Forecasting is one of the techniques to know some future figures on the basis of past data. This…

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A: 2. Calculate the Average Attendance: First, we calculate the overall average attendance across all…

Q: For the following data, calculate 'MAPE' Month Forecast Actual 1. 1100 950 1100 1050 1100 1100 4…

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.