Based on the data shown below, calculate the regression line (each value to at least two decimal places)y =XX +y414.68518.7619.42722.748 26.569 27.681031.111 34.0212 38.64

Given data: x y 4 14.68 5 18.7 6 19.42 7 22.74 8 26.56 9 27.68 10 31.1 11 34.02…

Answered: Based on the data shown below,…

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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Based on the data shown below, calculate the regression line (each value to at least two decimal places) y = y 25.87 24.06 4 22.45 21.84 22.93 7 22.12 18.41 19.9
Based on the data shown below, calculate the regression line (each value to two decimal places)y = x + x y 5 16.8 6 12.4 7 10.3 8 9.9 9 5.6 10 6.2 11 2.9
Based on the data shown below, calculate the regression line (each value to two decimal places)y = x + x y 5 28.76 6 27.85 7 25.44 8 25.13 9 23.52 10 20.01 11 18
Based on the data shown below, calculate the regression line (each value to two decimal places) y = 3 9.21 4. 8.68 13.05 6. 11.42 7. 11.69 8. 13.26 6. 16.13 10 15.8 11 16.07
The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 40 inches. Is the result close to the actual weight of 352 pounds? Use a significance level of 0.05. Chest size (inches) *Weight (pounds) 44 54 328 528 41 55 39 51 418 580 296 503 Click the icon to view the critical values of the Pearson correlation coefficient r. - What is the regression equation? x (Round to one decimal place as needed.)
Based on the data shown below, calculate the regression line (each value to two decimal places)y = x + x y 1 9.42 2 13.44 3 17.06 4 18.38 5 22.5 6 21.42 7 27.64 8 29.66
Based on the data shown below, calculate the regression line (each value to two decimal places)y = x + x y 4 26.54 5 26.95 6 31.56 7 33.97 8 35.18 9 36.29
Find the multiple regression model of the given data: y A B с D E F 8.0 19.6 94.9 5.2 2.3 2.1 29.6 8.3 19.8 89.7 5.2 1.8 2.1 32.4 8.5 19.6 96.2 5.5 2.0 2.1 31.0 8.8 18.6 95.6 5.8 1.9 2.0 32.4 9.0 18.8 86.5 6.4 1.8 2.2 32.6 9.3 20.4 84.5 5.8 2.1 2.1 32.2 9.5 20.8 88.9 5.5 1.9 2.2 31.8 Suppose that the regressors are grouped by Group 1: A, C, and F; and Group 2: B, D, and E. Find the multiple regression model.
Q4) You are on a TV show and the presenter shows you 3 boxes: box 1, box 2 and, box 3. There is check for 1M $ in one of the boxes and if you guess the correct box you win 1M $ ! Let's assume you chose box 1. Now, assume you play the same game, but this time there are 1000 boxes, box 1, box 2, ..., box 1000. There is a check for 1M $ in one of the boxes and you have to guess the correct box to win the prize. Let's assume you chose box 1. d) What is the probability that the check is in box 1? e) What is the probability that the check is not in box 1? f) After you chose box 1, the presenter opens 998 boxes, other than box 1, and shows you that they are all empty. Now only box 1 and let's say box 349 are closed. Then, the presenter asks you if you want to change your initial decision and choose box 349 instead of box 1. Do you still choose box 1 or change your decision and choose box 349? Why?
Please help
Based on the data shown below, calculate the regression line (each value to at least two decimal places) y = X y 3 27.4 4 25.9 5 22.7 6 21.8 7 20.3 8 16.8 9 16.9 X +
Based on the data shown below, calculate the regression line. y 1 4.27 3.64 3 3.31 5.08 5.85 6. 2.42 y = [three decimal accuracy] [three decimal accuracy] 45

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Based on the data shown below, calculate the regression line (each value to at least two decimal places) y= X y 14.68 18.7 19.42 7 22.74 4 5 67890 X + 6 26.56 9 27.68 31.1 10 11 34.02 12 38.64