APPLIED STAT.IN BUS.+ECONOMICS
6th Edition
ISBN: 9781259957598
Author: DOANE
Publisher: RENT MCG
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Chapter 14.5, Problem 7SE
(a) Make an Excel line graph of the following bond yield data. Describe the pattern. Is there a consistent trend? (b) Perform exponential smoothing with α = .20. Use both methods A and B to initialize the forecast. Record the statistics of fit. (c) Do the smoothing again with α = .10 and then with α = .30, recording the statistics of fit. (d) Compare the statistics of fit for the three values of α. (e) Make a one-period forecast (i.e., t = 53) using each of the three α values. How did α affect your forecasts?
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Does there appear to be a positive or negative relationship between price and screen size? Use a scatter plot to examine the relationship.
Determine and interpret the correlation coefficient between the two variables. In your interpretation, discuss the direction of the relationship (positive, negative, or zero relationship). Also discuss the strength of the relationship.
Estimate the relationship between screen size and price using a simple linear regression model and interpret the estimated coefficients. (In your interpretation, tell the dollar amount by which price will change for each unit of increase in screen size).
Include the manufacturer dummy variable (Samsung=1, 0 otherwise) and estimate the relationship between screen size, price and manufacturer dummy as a multiple…
Chapter 14 Solutions
APPLIED STAT.IN BUS.+ECONOMICS
Ch. 14.2 - (a) Make an Excel graph of the data on the number...Ch. 14.2 - Prob. 3SECh. 14.2 - Prob. 4SECh. 14.2 - Prob. 5SECh. 14.4 - (a) Make an Excel line graph of the exchange rate...Ch. 14.5 - (a) Make an Excel line graph of the following bond...Ch. 14 - Explain the difference between (a) stocks and...Ch. 14 - (a) What is periodicity? (b) Give original...Ch. 14 - (a) What are the distinguishing features of each...Ch. 14 - Name four criteria for assessing a trend forecast.
Ch. 14 - Name two advantages and two disadvantages of each...Ch. 14 - When would the exponential trend model be...Ch. 14 - Explain how to obtain the compound percent growth...Ch. 14 - (a) When might a quadratic model be useful? (b)...Ch. 14 - Name five measures of fit for a trend, and state...Ch. 14 - Prob. 10CRCh. 14 - Prob. 11CRCh. 14 - Prob. 12CRCh. 14 - (a) Why is seasonality irrelevant for annual data?...Ch. 14 - Prob. 14CRCh. 14 - (a) Explain how seasonal binaries can be used to...Ch. 14 - What is the purpose of index numbers?Ch. 14 - (a) Make a line chart for JetBlues revenue. (b)...Ch. 14 - (a) Plot both Swiss watch time series on the same...Ch. 14 - (a) Make a line graph of the U.S. civilian labor...Ch. 14 - (a) Plot the voter participation rate. (b)...Ch. 14 - For each of the following fitted trends, make a...Ch. 14 - (a) Make a line graph of consumer credit...Ch. 14 - (a) Plot the data on U.S. general aviation...Ch. 14 - Prob. 17CECh. 14 - (a) Plot either receipts and outlays or federal...Ch. 14 - Prob. 19CECh. 14 - (a) Plot the data on leisure and hospitality...Ch. 14 - Prob. 21CECh. 14 - Prob. 22CECh. 14 - (a) Plot the data on skier/snowboard visits. (b)...Ch. 14 - Prob. 24CECh. 14 - (a) Plot U.S. petroleum imports on a graph. (b)...Ch. 14 - (a) Make a line chart and fit an m-period moving...Ch. 14 - Refer to exercise 14.26. (a) Plot the dollar/pound...Ch. 14 - (a) Plot the data on natural gas bills. (b) Can...Ch. 14 - (a) Plot the data on air travel delays. (b) Can...Ch. 14 - (a) Plot the data on airplane shipments. (b) Can...Ch. 14 - (a) Plot the data on revolving credit (credit...Ch. 14 - The following seasonal regression was fitted with...Ch. 14 - The following seasonal regression was fitted with...
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