Perform the following steps in R. Answer the questions in parts where there are questions. Attach R code. (a) create a vector in R that contains the elements 10, 3, 6, 9, 20, 1, 4, and 5. (b) assign the vector to an R object named x. (c) assign x to another R object named y. Now you should have two stored R. objects, x and y. (d) print out x and y. Note that they are the same vector. (e) compute the variances for x and y. What are the variances for x and y? (f) compute the covariance between x and y. What is the covariance between x and y? (g) What is the relationship between the variance of x and the covariance between x and y? (h) compute the correlation between x and y. What is the correlation between x and

Perform the following steps in R. Answer the questions in parts where there are questions. Attach R code. (a) create a vector in R that contains the elements 10, 3, 6, 9, 20, 1, 4, and 5. (b) assign the vector to an R object named x. (c) assign x to another R object named y. Now you should have two stored R. objects, x and y. (d) print out x and y. Note that they are the same vector. (e) compute the variances for x and y. What are the variances for x and y? (f) compute the covariance between x and y. What is the covariance between x and y? (g) What is the relationship between the variance of x and the covariance between x and y? (h) compute the correlation between x and y. What is the correlation between x and

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter8: Applications Of Trigonometry

Section8.4: The Dot Product

Problem 48E

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