The following table lists your company’s sales during the last
four years.
Year 1: 100 Sales
Year 2: 110 Sales
Year 3: 105 Sales
Year 4: 120 Sales
a. A fellow manager points to the 15-unit increase between year 3
and year 4. Extrapolating this trend, he predicts
135 units will be sold in the coming year (year 5). Do you agree?
Explain.
b. A second manager notes that annual sales increases have averaged
(120 − 100)/3 = 6.67 units per year.
Accordingly, her forecast for the coming year is 126.67 units sold.
Do you agree with this prediction? Explain.
A.
I do not agree, because naive approach is considered in projecting the growth in sales. Here, the growth in the last year, is considered to be the growth in the next year. Here, the growth in the past years 2 and 3 are not considered. So, such a projection is erratic nature.
B.
I do not agree, because it is the arithmetic average of the sales growth in the lest 4 years. Arithmetic averages are less reliable and the manager should go for the geometric mean of the sales growth rate to calculate the sales in next year 5.
Further, manager can go for the
weighed average where the higher weight should be given to most
recent year. It will give most realist sales growth in year
5.
The following table lists your company’s sales during the last four years. Year 1: 100 Sales...
A store has the following demand figures for the last four years: Year Demand 1 100 2 150 3 98 4 112 With a three-year moving average, what is the demand forecast for year 4? 116 105 120 124
Regression Analysis Problem #1 The following table shows the sales (in $100,000) of a certain product as a function of the past 10 months and the level of advertisement (in S1,000) for the corresponding months Sales 100 110 107 110 118 120 117122 120 125 Month 2 4 5 7 8 10 Advertisement 1.5 2.1 2,6 2.8 3.5 3.7 3.6 3.4 3.4 2.9 Part A: Considering a simple linear regression of sales vs, time (months), perform the following analysis manually,...
A store has the following demand figures for the last four years: Year Demand 1 100 2 150 3 98 4 112 What is the exponential smoothing forecast for year 5? Use alpha 0.3 and a forecast for year 2 of 100. 108.4 111.1 103.6 110.5
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Masters Level work....all work must be shown. FORECASTING
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s a marketing manager for one of the world’s largest automakers, you are responsible for the advertising campaign for a new energy-efficient sports utility vehicle. Your support team has prepared the following table, which summarizes the (year-end) profitability, estimated number of vehicles sold, and average estimated selling price for alternative levels of advertising. The accounting department projects that the best alternative use for the funds used in the advertising campaign is an investment returning 9 percent. In light of the...
As a marketing manager for one of the world's largest automakers, you are responsible for the advertising campaign for a new energy- efficient sports utility vehicle. Your support team has prepared the following table, which summarizes the (year-end) profitability, estimated number of vehicles sold, and average estimated selling price for alternative levels of advertising. The accounting department projects that the best alternative use for the funds used in the advertising campaign is an investment returning 9 percent. In light of...
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Last year Argos Company sho reos Company showed a negative cash flow from operating activities. What Ad! á be the reasons for this and should the business's management be concerned o. Assume that you have been invited to a meeting ABC's Company's board of directors to address some financial reporting questions which have emerged. During the meeting. Director NMA asks the following questions: Director NMA: "Each year we spend significant amounts on things like brand development, research and development (R&D...