Intro Stats, Books a la Carte Edition (5th Edition)
5th Edition
ISBN: 9780134210285
Author: Richard D. De Veaux, Paul Velleman, David E. Bock
Publisher: PEARSON
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Chapter 1, Problem 29E
(Exercises 27–40) For each description of data, identify the W’s, name the variables, specify for each variable whether its use indicates that it should be treated as categorical or quantitative, and, for any quantitative variable, identify the units in which it was measured (or note that they were not provided).
29. Arby’s menu A listing posted by the Arby’s restaurant chain gives, for each of the sandwiches it sells, the type of meat in the sandwich, the number of calories, and the serving size in ounces. The data might be used to assess the nutritional value of the different sandwiches.
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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)
Business discuss
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 1 Solutions
Intro Stats, Books a la Carte Edition (5th Edition)
Ch. 1.3 - In the 2004 Tour de France, Lance Armstrong made...Ch. 1.3 - In the 2004 Tour de France, Lance Armstrong made...Ch. 1 - Grocery shopping Many grocery store chains offer...Ch. 1 - Online shopping Online retailers such as...Ch. 1 - Parking lots Sensors in parking lots are able to...Ch. 1 - Satellites and global climate change Satellites...Ch. 1 - Super Bowl Sports announcers love to quote...Ch. 1 - Nobel laureates The website www.nobelprize.org...Ch. 1 - Health records The National Center for Health...Ch. 1 - Facebook. Facebook uploads more than 350 million...
Ch. 1 - Prob. 9ECh. 1 - ZIP codes The U.S. Postal Service uses five-digit...Ch. 1 - Voters A February 2010 Gallup Poll question asked,...Ch. 1 - Job hunting A June 2011 Gallup Poll asked...Ch. 1 - Medicine A pharmaceutical company conducts an...Ch. 1 - Stress A medical researcher measures the increase...Ch. 1 - Voting and elections Pollsters are interested in...Ch. 1 - Weather Meteorologists utilize sophisticated...Ch. 1 - (Exercises 1926) For each description of data,...Ch. 1 - (Exercises 1926) For each description of data,...Ch. 1 - (Exercises 1926) For each description of data,...Ch. 1 - (Exercises 1926) For each description of data,...Ch. 1 - (Exercises 1926) For each description of data,...Ch. 1 - (Exercises 1926) For each description of data,...Ch. 1 - (Exercises 1926) For each description of data,...Ch. 1 - (Exercises 1926) For each description of data,...Ch. 1 - (Exercises 2740) For each description of data,...Ch. 1 - (Exercises 2740) For each description of data,...Ch. 1 - (Exercises 2740) For each description of data,...Ch. 1 - (Exercises 2740) For each description of data,...Ch. 1 - (Exercises 2740) For each description of data,...Ch. 1 - (Exercises 2740) For each description of data,...Ch. 1 - (Exercises 2740) For each description of data,...Ch. 1 - (Exercises 2740) For each description of data,...Ch. 1 - (Exercises 2740) For each description of data,...Ch. 1 - (Exercises 2740) For each description of data,...Ch. 1 - (Exercises 2740) For each description of data,...Ch. 1 - (Exercises 2740) For each description of data,...Ch. 1 - (Exercises 2740) For each description of data,...Ch. 1 - (Exercises 2740) For each description of data,...Ch. 1 - Kentucky Derby 2016 on the computer Load the...Ch. 1 - Indy 500 2016 on the computer Load the Indy 500...
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