Applied Statistics in Business and Economics
Applied Statistics in Business and Economics
5th Edition
ISBN: 9781259329050
Author: DOANE
Publisher: MCG
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Chapter 14, Problem 12CR

a.

To determine

Explain two ways to initialize the forecasts in an exponential smoothing process.

b.

To determine

Write an advantage and disadvantage of each method.

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When considering the future performance of a company, financial analysts often use forecasts for earnings per share (EPS). Naturally, we are interested in the quality of these forecasts. We can define a forecasting error as follows: Forecasting Error = Predicted Value of the Variable – The Actual Value of the Variable. The optimal forecast would have a mean forecasting error of zero. This suggests that, on average, the predicted value is equal to the actual value. Therefore, we construct a hypothesis test to see if the mean forecasting error is equal to zero. You have collected data, as shown in the picture below, for two analysts covering different industries. Analyst A covers the pharmaceutical sector; Analyst B covers the retail sector. Please complete the following tasks (1–3) and provide an answer to the following question (4): Define μ as the population mean forecasting error and formulate the null and alternative hypothesis for a zero mean test of forecasting quality. For…
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The November 24, 2001, issue of The Economist published economic data for 15 industrialized nations. Included were the percent changes in gross domestic product (GDP), industrial production (IP), consumer prices (CP), and producer prices (PP) from Fall 2000 to Fall 2001, and the unemployment rate in Fall 2001 (UNEMP). An economist wants to construct a model to predict GDP from the other variables. A fit of the model GDP = , + P,IP + 0,UNEMP + f,CP + P,PP + € yields the following output: The regression equation is GDP = 1.19 + 0.17 IP + 0.18 UNEMP + 0.18 CP – 0.18 PP Predictor Coef SE Coef тР Constant 1.18957 0.42180 2.82 0.018 IP 0.17326 0.041962 4.13 0.002 UNEMP 0.17918 0.045895 3.90 0.003 CP 0.17591 0.11365 1.55 0.153 PP -0.18393 0.068808 -2.67 0.023 Predict the percent change in GDP for a country with IP = 0.5, UNEMP = 5.7, CP = 3.0, and PP = 4.1. a. b. If two countries differ in unemployment rate by 1%, by how much would you predict their percent changes in GDP to differ, other…

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Applied Statistics in Business and Economics

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