Copy the data into Excel or use your calculator to determine the line of best fit (regression equation). Assume x is the independent variable and y is the dependent variable.Xy3.198.13.294.73.7924.389.8487.55.5856.7827.477.87.472.110.653.5y=-0.389155.67y = -5.264x+112.68y 155.67-0.389=y -5.264+ 112.68x

Step 1: Create a spreadsheet with the known values of x's and…

Answered: Copy the data into Excel or use your…

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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= Question Help 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 48 inches. Is the result close to the actual weight of 218 pounds? Use a significance level of 0.05. Chest size (inches) Weight (pounds) 58 49 58 43 57 348 46 355 266 332 177 246 = Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression equation? y= x (Round to one decimal place as needed.) +. What is the best predicted weight of a bear with a chest size of 48 inches? The best predicted weight for a bear with a chest size of 48 inches is (Round to one decimal place as needed.) pounds. Is the result close to the actual weight of 218 pounds? O A. This result is not very close to the actual weight of the bear. O B. This result is very close to the actual weight of the bear. O C. This result is close to the actual…

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