Quarterly demand for Ford F150 pickups at a New York autodealer is forecast with the equation:yn = 10 + 3xwhere x = quarters, and:Quarter I of year 1 = 0Quarter II of year 1 = 1Quarter III of year 1 = 2Quarter IV of year 1 = 3Quarter I of year 2 = 4and so on and: yn = quarterly demand The demand for trucks is seasonal, and the indices for QuartersI, II, III, and IV are 0.80, 1.00, 1.30, and 0.90, respectively.Forecast demand for each quarter of year 3. Then, seasonalizeeach forecast to adjust for quarterly variations.

Q: Sales of tablet computers at Marika Gonzalez's electronics store in Washington, D.C., over the past…

A: Ans)

Q: A police station had to deploy a police officer for an emergency multiple times in the last four…

A: The technique of Naïve forecasting is when the previous period's sales are utilized to anticipate…

Q: Ed Rogers owns an appliance store. Sales data on a particular model of a DVD player for the past six…

A: Absolute Error =  | Actual sales - Forecast | MAD = Average of Absolute Error

Q: a) Is there a strong linear trend in sales over time? b) Fill in the table with what Bob and Sherry…

A: Using excel for performing regression with Sales as the dependent variable and period as independent…

Q: Consider the following time series data.    Month  1     2     3      4         5          6…

A: MSE stands for Mean squared error. It calculates the average squared difference between the forecast…

Q: The value of the forecast is _________patients ​(round your response to two decimal​ places).

A: Forecast = sum of the product of weights and actual no.of patients/sum of weights

Q: Using an exponential smoothing model with an alpha value of 0.20, estimate the smoothed value…

A: The answer is as below:

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A: Exponential smoothing determine with following formula Exponential smoothing = Alpha*At+(1-Alpha)*Ft…

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A: The objective of the question is to calculate the three month weighted moving average sales forecast…

Q: The following are sales revenues for a large utility company for years 1 through 11. Forecast…

A:

Q: A company has the following demand history by seasons over a two-year period. The production planner…

A: In this question, the production planner would deseasonalize the data set, to make such…

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A: Simple Linear Regression Y = a + b*X a = Intercept b = Slope X = Independent Variable (Year )

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A: Year 1: Average demand = 8+10+12+94=9.75 Year 2:  Average demand = 8+11+14+104=10.75

Q: The Carbondale Hospital is considering the purchase of a new ambulance. The decision will rest…

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

Q: Harlen Industries has a simple forecasting model: Take the actual demand for the same month last…

A: WeekActual Demand Forecast Demand 11371402133140315014041601405180140617015071851508205150

Q: Consider the following actual and forecast demand levels for Big Mac hamburgers at a local…

A: The Formula for exponential smoothing forecast is:Ft+1 =  Yt + ( 1 - ) FtHere, Ft+1 is the Forecast…

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Q: Lori Cook has developed the following forecasting modaly = 36 + 4.3xwhere    y = demand for Kool Air…

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Q: Sales of tablet computers at Marika Gonzalez's electronics store in Washington, D.C., over the past…

A: Find the given details below:

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A: Note: - Since we only answer up to 3 sub-parts, we’ll answer the first3. Please resubmit the…

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A: seasonal forecast is obtained by multiplying the forecast with the relative values fo the periods.

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A: Ans)

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A: Linear regression forecasting is a statistical technique used to predict or forecast future values…

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A: Given data is Alpha = 0.40 Forecast for year 1 = 5

Q: The Carbondale Hospital is considering the purchase of a new ambulance. The decision will rest…

A: The 2-year Moving average (MA) forecast is calculated using the below formula: 2-year MA Forecast…

Q: With the multiplicative seasonal method of forecasting: the seasonal amplitude is a constant,…

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A: Assume that:Sales = AFor Forecast of October =

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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.