Numerical Methods
4th Edition
ISBN: 9780495114765
Author: J. Douglas Faires, BURDEN
Publisher: Cengage Learning
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Textbook Question
Chapter 3.2, Problem 8E
Use the Lagrange interpolating polynomial of degree 3 or less and four-digit chopping arithmetic to approximate cos 0.750 using the following values. Find an error bound for the approximation.
The actual value of
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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 3 Solutions
Numerical Methods
Ch. 3.2 - Prob. 1ECh. 3.2 - Prob. 2ECh. 3.2 - Use appropriate Lagrange interpolating polynomials...Ch. 3.2 - Use Nevilles method to obtain the approximations...Ch. 3.2 - Prob. 5ECh. 3.2 - Prob. 6ECh. 3.2 - Prob. 7ECh. 3.2 - Use the Lagrange interpolating polynomial of...Ch. 3.2 - Prob. 9ECh. 3.2 - Prob. 10E
Ch. 3.2 - Prob. 11ECh. 3.2 - Nevilles method is used to approximate f(0.5),...Ch. 3.2 - Prob. 13ECh. 3.2 - Suppose xj=j for j=0,1,2,3 and it is known that...Ch. 3.2 - Nevilles method is used to approximate f(0) using...Ch. 3.2 - Prob. 16ECh. 3.2 - Prob. 17ECh. 3.3 - Prob. 1ECh. 3.3 - Prob. 2ECh. 3.3 - Prob. 3ECh. 3.3 - Prob. 4ECh. 3.3 - Prob. 5ECh. 3.3 - Prob. 6ECh. 3.3 - Prob. 7ECh. 3.3 - Prob. 8ECh. 3.3 - A fourth-degree polynomial P(x) satisfies...Ch. 3.3 - Prob. 10ECh. 3.3 - The Newton forward divided-difference formula is...Ch. 3.3 - For a function f, the Newtons interpolatory...Ch. 3.3 - Prob. 13ECh. 3.4 - Use Hermite interpolation to construct an...Ch. 3.4 - Prob. 2ECh. 3.4 - Use the following values and five-digit rounding...Ch. 3.4 - Let f(x)=3xexe2x Approximate f(1.03) by the...Ch. 3.4 - Prob. 5ECh. 3.4 - The following table lists data for the function...Ch. 3.4 - A car traveling along a straight road is clocked...Ch. 3.4 - Prob. 8ECh. 3.5 - Prob. 1ECh. 3.5 - Prob. 2ECh. 3.5 - Construct the natural cubic spline for the...Ch. 3.5 - The data in Exercise 3 were generated using the...Ch. 3.5 - Construct the clamped cubic spline using the data...Ch. 3.5 - Repeat Exercise 4 using the clamped cubic splines...Ch. 3.5 - Prob. 7ECh. 3.5 - Construct a natural cubic spline to approximate...Ch. 3.5 - Prob. 9ECh. 3.5 - Prob. 10ECh. 3.5 - Prob. 11ECh. 3.5 - A clamped cubic spline s for a function f is...Ch. 3.5 - Prob. 13ECh. 3.5 - Prob. 14ECh. 3.5 - Suppose that f(x) is a polynomial of degree 3....Ch. 3.5 - Suppose the data xi,fxi)i=1n lie on a straight...Ch. 3.5 - The data in the following table give the...Ch. 3.5 - Prob. 18ECh. 3.5 - Prob. 19ECh. 3.5 - It is suspected that the high amounts of tannin in...Ch. 3.6 - Prob. 1ECh. 3.6 - Prob. 2ECh. 3.6 - Construct and graph the cubic BĂ©zier polynomials...Ch. 3.6 - Prob. 4E
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