Concept explainers
Suppose three tests are administered to a random sample of college students. Let X1,…, XN be observation vectors in ℝ3 that list the three scores of each student, and for j = 1,2,3, let xj denote a student’s score on the jth exam.
Suppose the
Let y be an “index” of student performance, with y = c1x1 + c2x2 + c3x3 and
Want to see the full answer?
Check out a sample textbook solutionChapter 7 Solutions
Linear Algebra and Its Applications (5th Edition)
Additional Math Textbook Solutions
Math in Our World
Mathematics for the Trades: A Guided Approach (11th Edition) (What's New in Trade Math)
Finite Mathematics for Business, Economics, Life Sciences and Social Sciences
University Calculus: Early Transcendentals (4th Edition)
Probability And Statistical Inference (10th Edition)
Calculus for Business, Economics, Life Sciences, and Social Sciences (14th Edition)
- Please give me only correct answer. Someone give me incorrect solution. Otherwise i dislike.arrow_forwarda. Rewrite the data points (2,1), (4,2), (8,6) and (9,6) with new x-coordinates in mean-deviation form. Let X be the associated design matrix. Why are the columns of X orthogonal? b. Write the normal equations for the data in part (a), and solve them to find the least-squares line, y =B₁ + B₁x², * where x = x-5.75.arrow_forward1. 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.arrow_forward
- Please please answer it only correct. In short explanation. I will really upvotearrow_forwardThe covariance matrix of an image with three spectral components is shown below. Let x₁, x₂, and x3 denote the spectral components of each pixel in the image. Find a new variable of the form y₁ = C₁X₁ + C₂X₂ + C3x3 that has maximum possible variance, subject to the constraint that c3 + c3 + c3 = 1. What percentage of the total variance in the data is explained by y₁? 27.22 19.55 6.00 S= 19.55 21.88 13.36 6.00 13.36 25.32 (...) Which of the following could be the new variable y₁? O A. Y₁ = -0.56x₁ +0.06x2 -0.83x3 O C. y₁ = 0.62x₁ +0.62x2 +0.62x3 O B. y₁ = -0.54x₁ -0.78x2 +0.32x3 ⒸD. y₁=0.54x₁1 -0.78x2 + 0.32x3 O F. y₁ = 0.62x₁ +0.63x2 +0.47x3 y₁ = 0.62x₁ +0.63x2 -0.47x3 O E. y₁=0.54x₁1 -0.78x2 -0.32x3 O G. y₁ = 0.56x₁ +0.06x2 -0.83x3 O H.arrow_forwarda. Rewrite the data points (2,1), (4,2), (8,6) and (9,6) with new x-coordinates in mean-deviation form. Let X be the associated design matrix. Why are the columns of X orthogonal? b. Write the normal equations for the data in part (a), and solve them to find the least-squares line, y =B₁ + B₁x², where x = x-5.75. The associated design matrix, X, is 1 - 1.75 2.25 3.25 1 the entries in one column are all 1 and the entries in the other column sum to 0. (Simplify your answer. Use ascending order.) B. Therefore, the columns of X are orthogonal because b. Write the normal equations for the data from part (a). Select the correct choice below and fill in the answer boxes within your choice. (Simplify your answer.) O A. [Bo B₁] = Bo 421-0arrow_forward
- a. Rewrite the data points (3,1), (6,3), (7,6) and (9,6) with new x-coordinates in mean-deviation form. Let X be the associated design matrix. Why are the columns of X orthogonal? b. Write the normal equations for the data in part (a), and solve them to find the least-squares line, y = Bo + B1x, where x =x- 6.25. a. The data in mean-deviation form are (Type ordered pairs. Use a comma to separate answers as needed.) The associated design matrix, X, isO. Therefore, the columns of X are orthogonal because (Simplify your answer. Use ascending order.) b. Write the normal equations for the data from part (a). Select the correct choice below and fi (Simplify your answer.) the entries in one column are all 1 and the entries in the other column sum to 0. O A. the entries in one column are all 1 and the entries in the other column sum to - 1. О в. one column contains all zeros. The least-squares line, y = Po + B,x* , is y = O:x- 6.25).arrow_forwardGiven data points (2,-1), (2, 1), (3,2), (0,-1), and (3,-1), compute the sample covariance matrix. Record the entries of covariance matrix row by row as decimal numbers, separated by commas.arrow_forwardIn the simple linear regression model, if there is a very strong correlation between the independent and dependent variables, then the correlation coefficient should be a) close to either -1 or +1 b) close to zero c) close to -1 d) close to +1 ( don't hand writing solution)arrow_forward
- Algebra & Trigonometry with Analytic GeometryAlgebraISBN:9781133382119Author:SwokowskiPublisher:CengageElementary Linear Algebra (MindTap Course List)AlgebraISBN:9781305658004Author:Ron LarsonPublisher:Cengage LearningLinear Algebra: A Modern IntroductionAlgebraISBN:9781285463247Author:David PoolePublisher:Cengage Learning