Among the following forecasting techniques, which one utilizes both past time period forecast and past time period actual demand to calculate the forecasted demand? Weighted Moving Average Simple Moving Average Naive Method Exponential Smoothing

You have a data set that includes time period and past sales data, and you want to use a time series forecasting technique. Which of the following forecasting methodologies is considered a time series forecasting technique? a.Group of answer choices b.Delphi method c.Simple movement smoothing d.Weighted moving average e.Simulation f.Exponential averaging

Demand for oil changes at Garcia's Garage has been as follows: Number of Oil Changes January 44 February 49 March 66 IT April 59 May 53 June 58 59 63 Month July August a. Use simple linear regression analysis to develop a forecasting model for monthly demand. In this application, the dependent variable, Y, is monthly demand and the independent variable, X, is the month. For Janu The forecasting model is given by the equation Y=+x. (Enter your responses rounded to two decimal places) J Show Transcribed Text >. Use the model to forecast demand for September, October, and November. Here, X=9, 10, and 11, respectively. (Enter your responses rounded to two decimal places.) Forecast for the number of Oil Changes Show Transcribed Text Month September October November can you do all the parts please corrrect

Below is a table containing data on product demand for the most recent three months along with the forecasts that had been made for those three previous months. Calculate the MAE (or MAD). Month Demand Forecast 1 308 310 2 388 390 3 344 342