1. Generate random 100 MVN data, p=20. The covariance matrix should be positive semi- definite symmetric matrix. (1) Show the generated data matrix. (2) Plot the scatter plot to show the correlation among variables.
1. Generate random 100 MVN data, p=20. The covariance matrix should be positive semi- definite symmetric matrix. (1) Show the generated data matrix. (2) Plot the scatter plot to show the correlation among variables.
Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter1: Functions
Section1.2: The Least Square Line
Problem 5E
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![1. Generate random 100 MVN data, p=20. The covariance matrix should be positive semi-
definite symmetric matrix.
(1) Show the generated data matrix.
(2) Plot the scatter plot to show the correlation among variables.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fad29f6c2-22fc-44c8-9a71-d9083e24d581%2Fe5da9cb5-21f5-4c64-939d-1866c9666628%2Fmv4uxor_processed.png&w=3840&q=75)
Transcribed Image Text:1. Generate random 100 MVN data, p=20. The covariance matrix should be positive semi-
definite symmetric matrix.
(1) Show the generated data matrix.
(2) Plot the scatter plot to show the correlation among variables.
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