APPLIED STAT.IN BUS.+ECONOMICS
6th Edition
ISBN: 9781259957598
Author: DOANE
Publisher: RENT MCG
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Chapter 15, Problem 19CE
To determine
State the null and alternative hypothesis.
Find the degrees of freedom for the
Find the critical value of chi-square from Appendix E or from Excel’s
Calculate the chi-square test statistics and interpret the p-value.
Check whether the conclusion is sensitive to the level of significance chosen, identify the cells that contribute to the chi-square test statistic and check for the small expected frequencies.
Calculate the p-value using Excel’s function if necessary.
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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 15 Solutions
APPLIED STAT.IN BUS.+ECONOMICS
Ch. 15.1 - Instructions: For each exercise, include software...Ch. 15.1 - Instructions: For each exercise, include software...Ch. 15.1 - Instructions: For each exercise, include software...Ch. 15.1 - Instructions: For each exercise, include software...Ch. 15.1 - Prob. 5SECh. 15.2 - U.S. market share for smartphones with larger...Ch. 15.2 - Prob. 7SECh. 15.3 - Prob. 8SECh. 15.3 - Prob. 9SECh. 15.3 - In a three-digit lottery, each of the three digits...
Ch. 15.3 - Ages of 56 attendees of a recent Star Wars movie...Ch. 15.4 - Excel was asked to generate 50 Poisson random...Ch. 15.4 - Prob. 13SECh. 15.4 - Prob. 14SECh. 15.5 - Exam scores of 40 students in a statistics class...Ch. 15.5 - One Friday night, there were 42 carry-out orders...Ch. 15.6 - Prob. 17SECh. 15.6 - Prob. 18SECh. 15 - Prob. 1CRCh. 15 - Prob. 2CRCh. 15 - Prob. 3CRCh. 15 - Prob. 4CRCh. 15 - Prob. 5CRCh. 15 - Prob. 6CRCh. 15 - Prob. 7CRCh. 15 - Prob. 8CRCh. 15 - Prob. 9CRCh. 15 - Prob. 10CRCh. 15 - (a) Name potential advantages of the...Ch. 15 - (a) What does a probability plot show? (b) If the...Ch. 15 - (a) Name two advantages of the Anderson-Darling...Ch. 15 - Prob. 19CECh. 15 - Prob. 20CECh. 15 - Prob. 21CECh. 15 - Prob. 22CECh. 15 - Prob. 23CECh. 15 - Prob. 24CECh. 15 - Instructions: In all exercises, include software...Ch. 15 - Prob. 26CECh. 15 - Prob. 27CECh. 15 - Prob. 28CECh. 15 - Prob. 29CECh. 15 - Prob. 30CECh. 15 - Prob. 31CECh. 15 - Prob. 32CECh. 15 - Prob. 33CECh. 15 - Prob. 34CECh. 15 - Prob. 35CECh. 15 - Prob. 36CECh. 15 - Prob. 37CECh. 15 - Prob. 38CECh. 15 - Instructions: In all exercises, include software...Ch. 15 - Instructions: In all exercises, include software...Ch. 15 - Instructions: In all exercises, include software...
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