# Answered Essay: Historical demand for a product is: a. Using a weighted moving average with weights of 0.40 Historical demand for a product is: a. Using a weighted moving average with weights of 0.40 (June), 0.20 (May), and 0.40 (April), find the July forecast. (Round your answer to 1 decimal place.) July forecast b. Using a simple three-month moving average, find the July forecast. (Round your answer to 1 decimal place.) July forecast c. Using single exponential smoothing with alpha = 0.20 and a June forecast = 12, find the July forecast. (Round your answer to 1 decimal place.) July forecast d. Using simple linear regression analysis, calculate the regression equation for the preceding demand data. (Do not round intermediate calculations. Round your intercept value to 1 decimal place and slope value to 2 decimal places.) Y = + t e. Using the regression equation in d, calculate the forecast for July. (Do not round intermediate calculations. Round your answer to 1 decimal place.) July forecast

Answer:- Weighted moving average ; –

Forecast for July = (14*0.4 + 15*0.2+13*0.4)/(0.4+0.2+0.4) = (5.6+3+5.2)/1

Forecast for July =13.8

Forecast for July =(14+15+13)/2=14

 Month Demand Jan 13 Feb 10 March 14 April 13 May 15 June 14 Month (X) Number of Accident(Y) X*Y X*X 1 13 13 1 2 10 20 4 3 14 42 9 4 13 52 16 5 15 75 25 6 14 84 36 ∑X = 21 ∑Y = 79 ∑XY = 286 ∑X^2 =91 Slope(b) = (N∑XY – (∑X)(∑Y)) / (N∑X2 – (∑X)2) Slope B = (6*286 – 21*79)/(6*91-21^2) B = 0.543 Intercept(a) = (∑Y – b(∑X)) / N a=(79-0.543*21)/6 a=11.27 Regression Equation(y) = a + bx y=11.27+0.543*x Forecast for July y=11.27+0.543*7 y=15.071 Pages (550 words)
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