Consider a four persons data:Heightweightage4515065145703012055501606825Find how similar a new person (155, 66,52) , using Mahalanobis DistanceNote: inverse covariance matrix for the given data is as follows:0.006407 -0.00776 0.002491-0.00776 0.046868 0.0102090.002491 0.010209 0.012695A) 5.08B) 4.58C) 5.56D) 3.45

Mahalonobis distance is the distance between a point and a distribution. It is effectively a…

Answered: Consider a four persons data: Height…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Match each scatterplot shown below with one of the four specified correlations. O O ∞oo O oooº 0000 8 9088 08 8 a. -0.89 b. -0.12 c. 0.55 d. 0.98
Next question Use the following cell phone airport data speeds (Mbps) from a particular network. Find Q1 0.1 0.2 0.3 0.3 0.3 0.4 0.6 0.6 0.6 0.7 O 0.8 0.8 0.8 0.8 0.9 0.9 1.1 1.2 1.2 1.3 1.8 1.8 2.1 2.1 2.5 2.6 2.7 2.7 3.9 3.9 4.2 4.9 57 6.4 7.3 7.5 7.8 8.2 8.7 9.4 10.1 10.4 11.5 12.4 13.1 13.4 14.7 14.8 14 9 27.7 Q1 = Mbps (Type an integer or a decimal. Do not round.)
Match each scatterplot shown below with the best desciption of its correlation. O 0 00 O O goog 800 000000 98 O 0 O O 00 O ⁰00 Select an answer Select an answer Negative correlation No correlation Co Positive Correlation O 8 0 O 6 Select an answer Select an answer
Q. 22
I. Chi Diana Vasqu Tim 5 of 9 (4 complete) ▼ i Data Table when stop bet 0.718 1.440 1.943 2.447 3.143 3.707 7 0.711 1.415 1.895 2.365 2.998 3.499 0.706 1.397 1.860 2.306 2.896 3.355 0.703 1.383 1.833 2.262 2.821 3.250 2.228 2.764 2.718 10 0.700 1.372 1.812 3.169 11 0.697 1.363 1.796 2.201 3.106 3.055 3.012 12 0.695 1.356 1.782 2.179 2.681 13 0.694 1.350 1.771 2.160 2.650 14 0.692 1.345 1.761 2.145 2.624 2.977 15 0.691 1.341 1.753 2.131 2.602 2.947 16 0.690 1.337 1.746 2.120 2.583 2.921. within your c 17 0.689 1.333 1.740 2.110 2.567 2.898 18 0.688 1.330 1.734 2.101 2.552 2.878 19 0.688 1.328 1.729 2.093 2.539 2.861 20 0.687 1.325 1.725 2.086 2.528 2.845 21 0.686 1.323 1.721 2.080 2.518 2.831 22 0.686 1.321 1.717 2.074 2.508 2.819 23 0.685 1.319 1.714 2.069 2.500 2.807 2.492 2.485 24 0.685 1.318 1.711 2.064 2.797 25 0.684 1.316 1.708 2.060 2.787 26 0.684 1.315 1.706 2.056 2.479 2.779 2.473 2.467 2.462 2.326 27 0.684 1.314 1.703 2.052 2.771 28 0.683 1.313 1.701 2.048 2.763 a signif 1.311…
Page 34 Compute the correlation coe cient, r, for the following table: X 10 y 5 12 15 16 1 4 6 18 1 9 7 8 1 25 12 14 17 3 6
The Pearson Product correlation coefficient of this graph would be closest to: 0.9 0.1 -0.5 -0.1 -0.9 O 0.5
How can I read this correlation matrix-
Doctors at a technology research facility randomly assigned people to use computer keyboards in two rooms. In one room a group of people typed a manuscript using standard keyboards, while in the other room a second group of people typed the same manuscript using ergonomic keyboards to see if those people could type more words per minute. The table shows the resulting data. Standard Ergonomic Words per Words per minute minute 12 43 38 35 21 35 28 69 18 58 45 52 40 36 42 37 52 38 19 47 24 46 63 58
Match each scatterplot shown below with one of the four specified correlations. O O O O O O O 0 80 8 88 O O 50 O 00 a. -0.34 b. -0.88 c. 0.54 d. 0.67
Given data points (1, 3), (0, -1). (2. 1). (4. 1). (-2. 1), center the data and compute the sample covariance matrix. Record the entries of the covariance matrix row by row, separated by commas.

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