Stats: Data And Models Plus Mylab Statistics With Pearson Etext -- Access Card Package (5th Edition)
5th Edition
ISBN: 9780135256213
Author: Richard D. De Veaux, Paul F. Velleman, David E. Bock
Publisher: PEARSON
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Chapter 6, Problem 17E
a.
To determine
Construct the histogram for the number of broken pieces in the 24 batches of pottery examined.
b.
To determine
Identify the features of the distribution of number of broken pieces that are seen in histogram and not in scatterplot.
c.
To determine
Identify the problem of the company that is more apparent in scatterplot.
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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 6 Solutions
Stats: Data And Models Plus Mylab Statistics With Pearson Etext -- Access Card Package (5th Edition)
Ch. 6.2 - Your statistics instructor tells you that the...Ch. 6.2 - Prob. 2JCCh. 6.2 - Prob. 3JCCh. 6.2 - Prob. 4JCCh. 6.2 - Prob. 5JCCh. 6 - Prob. 1ECh. 6 - 2. Association II Suppose you were to collect data...Ch. 6 - 3. Bookstore sales Consider the following data...Ch. 6 - 4. Disk drives 2016 Disk drives have been getting...Ch. 6 - 5. Correlation facts If we assume that the...
Ch. 6 - 6. Correlation facts II If we assume that the...Ch. 6 - Prob. 7ECh. 6 - 8. Blizzards A study finds that during blizzards,...Ch. 6 - Prob. 9ECh. 6 - Prob. 10ECh. 6 - Prob. 11ECh. 6 - Prob. 12ECh. 6 - Prob. 13ECh. 6 - 14. Scatterplots II Which of these scatterplots...Ch. 6 - Prob. 15ECh. 6 - Prob. 16ECh. 6 - Prob. 17ECh. 6 - Prob. 18ECh. 6 - 19. Matching Here are several scatterplots. The...Ch. 6 - 20. Matching II Here are several scatterplots. The...Ch. 6 - Prob. 21ECh. 6 - 22. Car thefts The National Insurance Crime Bureau...Ch. 6 - Prob. 23ECh. 6 - 24. Antidepressants A study compared the...Ch. 6 - Prob. 25ECh. 6 - Prob. 26ECh. 6 - Prob. 27ECh. 6 - Prob. 28ECh. 6 - Prob. 29ECh. 6 - Prob. 30ECh. 6 - Prob. 31ECh. 6 - Prob. 32ECh. 6 - Prob. 33ECh. 6 - Prob. 34ECh. 6 - Prob. 35ECh. 6 - Prob. 36ECh. 6 - Prob. 37ECh. 6 - 38. Sample survey A polling organization is...Ch. 6 - Income and housing The Office of Federal Housing...Ch. 6 - Interest rates and mortgages 2015 Since 1985,...Ch. 6 - Prob. 41ECh. 6 - Prob. 42ECh. 6 - Burgers Fast food is often considered unhealthy...Ch. 6 - Prob. 44ECh. 6 - Prob. 45ECh. 6 - Prob. 46ECh. 6 - Prob. 47ECh. 6 - Prob. 48ECh. 6 - Prob. 49ECh. 6 - Prob. 50ECh. 6 - Prob. 51ECh. 6 - Prob. 52ECh. 6 - Prob. 53E
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