APPLIED STAT.IN BUS.+ECONOMICS
APPLIED STAT.IN BUS.+ECONOMICS
6th Edition
ISBN: 9781259957598
Author: DOANE
Publisher: RENT MCG
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Chapter 14, Problem 17CE

a.

To determine

Make a prediction for period t=12 for fitted trend yt=372e0.041t.

b.

To determine

Make a prediction for period t=12 for fitted trend yt=719+10t.

c.

To determine

Make a prediction for period t=12 for fitted trend yt=1,29951t+7t2.

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(c) Because logistic regression predicts probabilities of outcomes, observations used to build a logistic regression model need not be independent. A. false: all observations must be independent B. true C. false: only observations with the same outcome need to be independent I ANSWERED: A. false: all observations must be independent.  (This was marked wrong but I have no idea why. Isn't this a basic assumption of logistic regression)
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Spam filters are built on principles similar to those used in logistic regression. We fit a probability that each message is spam or not spam. We have several variables for each email. Here are a few: to_multiple=1 if there are multiple recipients, winner=1 if the word 'winner' appears in the subject line, format=1 if the email is poorly formatted, re_subj=1 if "re" appears in the subject line. A logistic model was fit to a dataset with the following output:   Estimate SE Z Pr(>|Z|) (Intercept) -0.8161 0.086 -9.4895 0 to_multiple -2.5651 0.3052 -8.4047 0 winner 1.5801 0.3156 5.0067 0 format -0.1528 0.1136 -1.3451 0.1786 re_subj -2.8401 0.363 -7.824 0 (a) Write down the model using the coefficients from the model fit.log_odds(spam) = -0.8161 + -2.5651 + to_multiple  + 1.5801 winner + -0.1528 format + -2.8401 re_subj(b) Suppose we have an observation where to_multiple=0, winner=1, format=0, and re_subj=0. What is the predicted probability that this message is spam?…

Chapter 14 Solutions

APPLIED STAT.IN BUS.+ECONOMICS

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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