ELEMENTARY STAT.USING EXCEL-MYSTATLAB
7th Edition
ISBN: 9780136961970
Author: Triola
Publisher: PEARSON
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Chapter 2.4, Problem 11BSC
To determine
To find: The critical values of r . Also, draw the conclusion based on the
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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 2 Solutions
ELEMENTARY STAT.USING EXCEL-MYSTATLAB
Ch. 2.1 - Prob. 1BSCCh. 2.1 - Prob. 2BSCCh. 2.1 - Prob. 3BSCCh. 2.1 - Prob. 4BSCCh. 2.1 - Prob. 5BSCCh. 2.1 - Prob. 6BSCCh. 2.1 - Prob. 7BSCCh. 2.1 - Prob. 8BSCCh. 2.1 - Prob. 9BSCCh. 2.1 - Prob. 10BSC
Ch. 2.1 - Prob. 11BSCCh. 2.1 - Prob. 12BSCCh. 2.1 - Prob. 13BSCCh. 2.1 - Prob. 14BSCCh. 2.1 - Prob. 15BSCCh. 2.1 - Prob. 16BSCCh. 2.1 - Prob. 17BSCCh. 2.1 - Prob. 18BSCCh. 2.1 - Prob. 19BSCCh. 2.1 - Prob. 20BSCCh. 2.1 - Prob. 21BSCCh. 2.1 - Prob. 22BSCCh. 2.1 - Prob. 23BSCCh. 2.1 - Prob. 24BSCCh. 2.1 - Prob. 25BSCCh. 2.1 - Prob. 26BSCCh. 2.1 - Prob. 27BSCCh. 2.1 - Prob. 28BSCCh. 2.1 - Prob. 29BSCCh. 2.1 - Prob. 30BSCCh. 2.1 - Prob. 31BSCCh. 2.1 - Prob. 32BSCCh. 2.1 - Prob. 33BSCCh. 2.1 - Prob. 34BSCCh. 2.2 - 1. Heights Heights of adult males are normally...Ch. 2.2 - Prob. 2BSCCh. 2.2 - Prob. 3BSCCh. 2.2 - Prob. 4BSCCh. 2.2 - Interpreting a Histogram. In Exercises 5–8, answer...Ch. 2.2 - Interpreting a Histogram. In Exercises 5–8, answer...Ch. 2.2 - Interpreting a Histogram. In Exercises 5–8, answer...Ch. 2.2 - Interpreting a Histogram. In Exercises 5–8, answer...Ch. 2.2 - Prob. 9BSCCh. 2.2 - Prob. 10BSCCh. 2.2 - Prob. 11BSCCh. 2.2 - Prob. 12BSCCh. 2.2 - Prob. 13BSCCh. 2.2 - Prob. 14BSCCh. 2.2 - Prob. 15BSCCh. 2.2 - Prob. 16BSCCh. 2.2 - Prob. 17BSCCh. 2.2 - Prob. 18BSCCh. 2.2 - Prob. 19BBCh. 2.3 - Prob. 1BSCCh. 2.3 - Prob. 2BSCCh. 2.3 - 3. Ethics There are data showing that smoking is...Ch. 2.3 - Prob. 4BSCCh. 2.3 - Pulse Rates Listed below are pulse rates (beats...Ch. 2.3 - Diastolic Blood Pressure Listed below are...Ch. 2.3 - Pulse Rates Refer to the data listed in Exercise...Ch. 2.3 - Diastolic Blood Pressure Refer to the data listed...Ch. 2.3 - Prob. 9BSCCh. 2.3 - Prob. 10BSCCh. 2.3 - Prob. 11BSCCh. 2.3 - Prob. 12BSCCh. 2.3 - Prob. 13BSCCh. 2.3 - Prob. 14BSCCh. 2.3 - Prob. 15BSCCh. 2.3 - Prob. 16BSCCh. 2.3 - Prob. 17BSCCh. 2.3 - Deceptive Graphs. In Exercises 17-20, identify how...Ch. 2.3 - Prob. 19BSCCh. 2.3 - Prob. 20BSCCh. 2.3 - Prob. 21BBCh. 2.3 - Prob. 22BBCh. 2.4 - 1. Linear Correlation In this section we use r to...Ch. 2.4 - Prob. 2BSCCh. 2.4 - Prob. 3BSCCh. 2.4 - Prob. 4BSCCh. 2.4 - Prob. 5BSCCh. 2.4 - Prob. 6BSCCh. 2.4 - Prob. 7BSCCh. 2.4 - Prob. 8BSCCh. 2.4 - Prob. 9BSCCh. 2.4 - Prob. 10BSCCh. 2.4 - Prob. 11BSCCh. 2.4 - Prob. 12BSCCh. 2.4 - Prob. 13BBCh. 2.4 - Prob. 14BBCh. 2.4 - Prob. 15BBCh. 2.4 - Prob. 16BBCh. 2 - Prob. 1CQQCh. 2 - Prob. 2CQQCh. 2 - Prob. 3CQQCh. 2 - Prob. 4CQQCh. 2 - Prob. 5CQQCh. 2 - Prob. 6CQQCh. 2 - Prob. 7CQQCh. 2 - Prob. 8CQQCh. 2 - Prob. 9CQQCh. 2 - Prob. 10CQQCh. 2 - Prob. 1RECh. 2 - Prob. 2RECh. 2 - Prob. 3RECh. 2 - Prob. 4RECh. 2 - Prob. 5RECh. 2 - Prob. 6RECh. 2 - Prob. 7RECh. 2 - Prob. 8RECh. 2 - Prob. 1CRECh. 2 - Prob. 2CRECh. 2 - Prob. 3CRECh. 2 - Prob. 4CRECh. 2 - Prob. 5CRECh. 2 - Prob. 1EPCh. 2 - Prob. 1FDDCh. 2 - Prob. 2FDDCh. 2 - Prob. 3FDDCh. 2 - Prob. 4FDD
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