Please answer these two for a thumbs up ASAP! :) I will really appreciate it.

A)

B) Zebra Zebra, is a service firm that employs approximately 100 people. Because of the necessity of meeting monthly cash obligations, the chief financial officer wants to develop a forecast of monthly cash requirements. Because of a recent change in equipment and operating policy, only the past seven months of data are considered relevant. The change in operations has had a great impact on cash flow. What forecasting model do you recommend? Use the Moving Average and Exponential Smoothing Excel templates or other Excel tools to help you answer this question.

Year The president of a small manufacturing firm is concerned about the continual growth in manufacturing costs in the past several years. The data series of the cost per unit for the firm's leading product over the past eight years is as follows: Cost/Unit ($) Year Cost/Unit ($) 23.00 5 28.80 2 28.00 6 31.40 32.10 32.70 30.10 38.20 3 7 8 b. Use Excel to develop a simple linear regression model for these data. What average cost increase has the firm been realizing per year? Do not round intermediate calculations. Round your answers to four decimal places. The regression equation is Unit Cost = X Year The average cost increase per year is $ X 189 210 Cash Required Cash Required Month ($1,000) Month ($1,000) 1 5 236 2 6 239 3 224 7 201 4 270 Find the best number of months to use in a moving average forecast based on MSE. Do not round intermediate calculations. Round your answers to two decimal places. Number of months MSE 2 1011.7 3 1536.6 4 626.7 The 4-month moving average 4 model is the best Find the best single exponential smoothing model by evaluating the MSE from 0.1 to 0.9, in increments of 0.1. Do not round intermediate calculations. Round your answers to two decimal places. MSE Alpha 0.1 1370.2 0.2 1111 0.3 972.9 0.4 893 0.5 840.2 0.6 801.5 0.7 773.2 0.8 755.8 0.9 752.2 The model based on a smoothing constant of 0.9 is the best Build the linear regression model and calculate the MSE. Do not round intermediate calculations. Round your answers to two decimal places. The regression model is Cash Required = (Month). The MSE is 3.78 209 576.2