For the horseshoe crab data, fit the logistic regression model for π = probability of a satellite, using weight as the predictor. Data source (Horseshoe crab data set of Table 4.3): https://users.stat.ufl.edu/~aa/cda/data.html Note: In the original data set, weights are in grams rather than kg. Correct the unit by adding a new column which convert weight into kg and run the logistic regression with correct weight variable. a. Report the ML prediction equation. b. Find at the weight values 1.20, 2.44, and 5.20 kg, which are the sample minimum, mean, and maximum. c. Find the weight at which = 0.50 d. Ignore part d e. Construct a 95% confidence interval to describe the effect of weight on the odds of a satellite. Interpret. f. Conduct the Wald or likelihood-ratio test of the hypothesis that weight has no effect. Report the P -value and interpret.
For the horseshoe crab data, fit the logistic regression model for π = probability of a satellite, using weight as the predictor. Data source (Horseshoe crab data set of Table 4.3): https://users.stat.ufl.edu/~aa/cda/data.html Note: In the original data set, weights are in grams rather than kg. Correct the unit by adding a new column which convert weight into kg and run the logistic regression with correct weight variable. a. Report the ML prediction equation. b. Find at the weight values 1.20, 2.44, and 5.20 kg, which are the sample minimum, mean, and maximum. c. Find the weight at which = 0.50 d. Ignore part d e. Construct a 95% confidence interval to describe the effect of weight on the odds of a satellite. Interpret. f. Conduct the Wald or likelihood-ratio test of the hypothesis that weight has no effect. Report the P -value and interpret.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
100%
For the horseshoe crab data, fit the logistic regression model for π = probability of a satellite, using weight as the predictor.
Data source (Horseshoe crab data set of Table 4.3): https://users.stat.ufl.edu/~aa/cda/data.html
Note: In the original data set, weights are in grams rather than kg. Correct the unit by adding a new column which convert weight into kg and run the logistic regression with correct weight variable.
a. Report the ML prediction equation.
b. Find at the weight values 1.20, 2.44, and 5.20 kg, which are the sample minimum, mean, and maximum.
c. Find the weight at which = 0.50
d. Ignore part d
e. Construct a 95% confidence interval to describe the effect of weight on the odds of a satellite. Interpret.
f. Conduct the Wald or likelihood-ratio test of the hypothesis that weight has no effect. Report the P -value and interpret.
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
This is a popular solution!
Step 1: Write the given information.
VIEWStep 2: Fit the logistic regression model for π = probability of a satellite, using weight as the predictor.
VIEWStep 3: Predict the the ML prediction equation using the weight as the predictor.
VIEWStep 4: Determine probability at given weight values and weight value at probability 0.50.
VIEWStep 5: Determine the 95% confidence interval to describe the effect of weight on the odds of a satellite.
VIEWSolution
VIEWTrending now
This is a popular solution!
Step by step
Solved in 6 steps with 10 images
Recommended textbooks for you
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman