The covariance matrix of an image with three spectral components is shown below. Find the first principal component of the data, andcompute the percentage of the total variance that is contained in this component. Use technology with matrix capabilities to help solve thisproblem.167.88 25.52 77.45S= 25.52 590.28 248.0677.45 248.06 189.04What is the first principal component of the data? Choose the correct answer below. Note that technology may output the negative of firstprincipal component, but these components are equivalent.O B.O A.167.88590.28189.04714.57169.12563.505O C.0.10360.89350.4370O D.-0.4370-0.35380.8270

Answered: Image /qna-images/answer/65a46806-5213-4a18-8020-3fe48b8654d9.jpg

Answered: compute the percentage of the total…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

See similar textbooks

Similar questions

M4
Please answer Question C
Help me fast so that I will give Upvote....
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between the age of a young adult (18 to 35 years old) and the type of movie preferred. A random sample of 93 adults revealed the following data. Test whether age and type of movie preferred are independent at the 0.05 level. Person's Age Movie 18-23 yr 24-29 yr 30-35 yr Row Total Drama 7 13 14 34 Science Fiction 11 11 8 30 Comedy 8 10 11 29 Column Total 26 34 33 93 (A) Find the value of the chi-square statistic for the sample. (Round the expected frequencies to at least three decimal places. Round the test statistic to three decimal places.)
a firm has two investment projects project A : expected profit = $ 670 SD = 175 coefficient of varience = 0.26 project B : expected profit = $700 SD = 370 coefficient of variance = 0.53 a. which project has a lower absolute risk ? b. whick project has a lower relative risk ? C . which project would you advice the firm to choose ?
5. Economic growth Entrepreneurship employment No. of women entrepreneurs per 100 women 500 45 49 32 234 32 63 12 432 40 41 17 556 56 21 20 765 68 17 65 986 87 79 885 76 63 453 34 25 43 786 56 19 67 776 67 17 60 723 61 20 55 987 88 3 82 Study the table given above and answer the following questions. a. Identify the dependent and independent variables from the above data. b. Explain the relationship between these variables and conduct a literature review on them. c. Calculate correlation coefficient between the variables. Find the coefficient of non determination and the standard error estimate d. Fit regression line and interpret intercept and coefficients. (* e. Draw the scatter plot for Economic growth and entrepreneurship.
3. Suppose you find yourself in this situation. One time you want to buy a light bulb.There are three brands of light bulbs that you know. Knowing that the longer the lightbulb lasts, the more you save. Your experience of buying the different brands of light isthe basis. The data are as follows: BRAND K: The light bulb lasted for 4.5 months, 3.5 months, 5.5 months, 2.5 months,6,5 months, 2 months, and 7 months.Brand A: The light bulb lasted for 4.5 months, 3.5 months, 5.5 months, 2.5 months, 6.5months, 2 months, 7months, 4.5 months and 4.5 months. BRAND J: The light bulb lasted for 4.5 months, 3.5 months, 5.5 months, 2.5 months, 6.5months, 2months, 7 months, 8 months and 1 month.If the light bulbs have the same price, which brand of light will you buy? Justify youranswer by using the statistical measures. Tabulate your solutions.
3. Can SAT scores predict college performance? Let x be a variable that represents SAT score of a computer science major, and let y be a variable that represents a student’s GPA upon graduation. A random sample of n =15 computer science majors provided their SAT scores and GPAs: x 1232 1070 1086 1287 1130 1048 1121 1095 1135 1208 1333 1160 1186 1243 1261 y 3.52 2.91 2.4 3.47 3.47 2.37 2.4 2.24 3.02 3.32 3.59 2.54 3.19 3.71 3.58 The scatter diagram for the SAT score and GPA is given below: (a) Find the sample correlation coefficient r. Truncate to two decimal places. What does the value tell you about the data? (b) Find the equation of the least squares line . Truncate to four decimal places. What does the slope mean? (c) Find the value of the coefficient of determination . Truncate to two decimal places. What does this number mean? (d) What is the predicted GPA if a computer science major got a…
1) Which scatter plot shows a positive correlation? A. В. 20- 20 16 16 14 14 12 12 10 10 Number of Students Number of Students C. D. 20 20 18 18 36 16 14 14 12 12 10 10- Number of Students Number of Students Minutes Required Minutes Required Minutes Required Minutes Required
2. Listed below is the output from an ANOVA of data from a 4X3 (4 levels of Factor A, 3 levels of Factor B) design (n = 4 per cell). Fill in the missing info for degrees of freedom, mean square, and F columns. Interpret results. Type II Sum of Source Squares Mean Square Fobs Sig? Y/N df Essi. a 20.917 b 33.792 a*b 13.208 Error 104.000 36
Please answer the question. Asap. Thank you.
▾ Part 1 of 4 A beverage company has two bottling plants in different parts of the world. To insure uniformity in their product, the variances of the weights of the bottles at the two plants should be equal. But Parvez, the company's vice president of quality assurance, suspects that the variance at bottling plant A is less than the variance at bottling plant B. To test his suspicions, Parvez samples 34 bottles from bottling plant A and 34 bottles from bottling plant B, with the following results (in ounces): Bottling Plant A: 12.4, 12.5, 12, 13.3, 11.6, 11.9, 12.7, 13.1, 14.1, 12.4, 12, 12.4, 12.9, 12.2, 12.6, 12.7, 12.3, 12.5, 12.7, 12.7, 12.8, 12.8, 13.6, 11.4, 12.4, 12.5, 13.1, 12.6, 13.1, 12.6, 12.2, 12.9, 12.7, 13.5 Bottling Plant B: 12.1, 12.3, 12.2, 12.2, 12.4, 12.2, 12.2, 12.5, 12.4, 13.1, 12.2, 12.6, 12.1, 11.9, 13.2, 11.2, 12.9, 13.1, 11.6, 13.5, 12, 12.3, 12.4, 13, 12.9, 12.9, 12.4, 13.2, 12.5, 12.9, 13, 13.1, 12.3, 11.6 Perform a hypothesis test using a 7% level of…

SEE MORE QUESTIONS

Recommended textbooks for you

Advanced Engineering Mathematics

Advanced Math

ISBN:

9780470458365

Author:

Erwin Kreyszig

Publisher:

Wiley, John & Sons, Incorporated

Numerical Methods for Engineers

Advanced Math

ISBN:

9780073397924

Author:

Steven C. Chapra Dr., Raymond P. Canale

Publisher:

McGraw-Hill Education

Introductory Mathematics for Engineering Applicat…

Advanced Math

ISBN:

9781118141809

Author:

Nathan Klingbeil

Publisher:

WILEY

Advanced Engineering Mathematics

Advanced Math

ISBN:

9780470458365

Author:

Erwin Kreyszig

Publisher:

Wiley, John & Sons, Incorporated

Numerical Methods for Engineers

Advanced Math

ISBN:

9780073397924

Author:

Steven C. Chapra Dr., Raymond P. Canale

Publisher:

McGraw-Hill Education

Introductory Mathematics for Engineering Applicat…

Advanced Math

ISBN:

9781118141809

Author:

Nathan Klingbeil

Publisher:

WILEY

Mathematics For Machine Technology

Advanced Math

ISBN:

9781337798310

Author:

Peterson, John.

Publisher:

Cengage Learning,

Basic Technical Mathematics

Advanced Math

ISBN:

9780134437705

Author:

Washington

Publisher:

PEARSON

Topology

Advanced Math

ISBN:

9780134689517

Author:

Munkres, James R.

Publisher:

Pearson,

SEE MORE TEXTBOOKS