Based on the data shown below, calculate the regression line (each value to two decimal places)y% =X +y4.115.623.9.5349.8411.1511.8612.37815.989.18.691017.11118.411220.221323.33

Answered: Image /qna-images/answer/8110619c-3e7d-4291-8f01-d21e9fe1a388.jpg

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 two decimal places) y = X + Enter an integer or decimal number [more..] X y 18.66 20.18 5 21.4 6 22.22 7 21.44 8 23.56 9 22.28 10 22.6 3 4
Run a regression analysis on the following bivariate set of data with y as the response variable. x y -9.7 -66.2 5.6 28.3 -4.5 11.9 35.6 94.9 15.7 21.1 30.8 86.3 48.7 127.9 13 57.3 35.3 109 23.6 32.4 58 166.3 28.1 64.4 19.1 51.5 25.6 53.3 46.1 186.4 43.5 128 Predict what value (on average) for the response variable will be obtained from a value of 14.8 as the explanatory variable. Use a significance level of α=0.05 to assess the strength of the linear correlation.What is the predicted response value? y =
Run a regression analysis on the following bivariate set of data with y as the response variable. x y 61.1 78.9 58.6 84.5 70.2 58.1 62.3 65.4 64.2 68.9 58 84.1 63.7 70.2 64.6 71.9 68.3 71.5 61.7 77.5 59.3 77.4 64.6 71.2 Find the correlation coefficient and report it accurate to three decimal places.r = What proportion of the variation in y can be explained by the variation in the values of x? Report answer as a percentage accurate to one decimal place. (If the answer is 0.84471, then it would be 84.5%...you would enter 84.5 without the percent symbol.)r² = %Based on the data, calculate the regression line (each value to three decimal places)y = x + Predict what value (on average) for the response variable will be obtained from a value of 61.9 as the explanatory variable. Use a significance level of α=0.05α=0.05 to assess the strength of the linear correlation.What is the predicted response value? (Report answer accurate to one decimal place.)
Run a regression analysis on the following bivariate set of data with y as the response variable. X 109.4 69.8 90 87.5 64.1 59.6 63.1 92.2 74.7 61.5 83.3 80.3 58.9. 57.3 73 y 61.4 51.6 38.6. 83.7 71.5 69.5 35.4 79.9 40.5 Find the correlation coefficient and report it accurate to three decimal places. r= Based on the data, calculate the regression line (each value to three decimal places) y' = X +
Annual high temperatures in a certain location have been tracked for several years. Let Xrepresent the year and Y the high temperature. Based on the data shown below, calculate the regression line (each value to two decimal places).y = x + x y 5 25.45 6 25.48 7 30.41 8 33.84 9 36.27 10 36.7 11 42.13 12 45.86 13 46.49 14 50.42 15 52.75 16 57.58 17 57.81 18 62.44
Based on the data shown below, calculate the regression line (each value to two decimal places) %3D y 13.28 13.41 13.94 8. 10.37 9. 13.7 10 11.03 11 12.46 12 9.99 13 8.82 14 10.55 15 9.18 16 9.81 17 9.84 18 9.47 19 9.2 670
Based on the data shown below, calculate the regression line (each value to two decimal places)y = ____ x + _____ x y 3 12.52 4 14.16 5 13.2 6 12.74 7 15.98 8 13.12 9 13.06 10 15.4 11 15.74 12 15.28 13 15.92 14 16.86
Based on the data shown below, calculate the regression line (show each value to two decimal places) 19.28 6 17.75 16.62 8 16.69 14.76 10 13.33 11 11.6 y =
Annual high temperatures in a certain location have been tracked for several years. Let X represent the year and Y the high temperature. Based on the data shown below, calculate the regression line (each value to two decimal places). y = X + y 4 23.55 20.78 19.91 7 19.04 8. 16.07 9. 15.6

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Based on the data shown below, calculate the regression line (each value to two decimal places) y = X + y 4.11 5.62 3. 9.53 4 9.84 11.15 11.86 12.37 8 15.98 9. 18.69 10 17.1 11 18.41 20.22 23.33 23