Based on the data shown below, calculate the regression line (each value to two decimal places)y =Xy523.21625.22722.538 21.2418.551017.2611 12.9712 12.2813 11.39148.9alo934X +

We are given data and asked to calculate the regression line based on the data.…

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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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 40inches. Is the result close to the actual weight of 352pounds? Use a significance level of 0.05.a. Chest size (inches) 41 54 44 55 39 51 Weight (pounds) 328 528 418 580 296 503 a.What is the regression equation? b. The best predicted weight for a bear with a chest size of 39 inches is _______pounds.
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 58 inches. Is the result close to the actual weight of 572 pounds? Use a significance level of 0.05. Chest size (inches) 46 57 53 41 40 40 Weight (pounds) 384 580 542 358 306 320 LOADING... Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression equation? y=nothing+nothingx (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 2 7.52 3 8.03 4 11.04 5 15.55 6 15.16 7 17.37 8 20.38 9 21.79 10 26.3 11 28.21 12 30.62 13 32.23
Based on the data shown below, calculate the regression line. y 5 5.55 6. 6.92 7 7.29 8 9.96 9 10.33 10 10.8 11 11.87 12 10.44 13 12.91 14 13.28 15 14.05 16 15.72 17 15.69 18 18.06 19 17.23 y = X + [three decimal accuracy] [three decimal accuracy]
Based on the data shown below, calculate the regression line (each value to at least two decimal places)y = x + x y 4 21.44 5 22.35 6 21.56 7 22.47 8 21.28 9 24.69 10 22.3 11 25.71 12 26.82 13 26.63 14 25.44 15 25.85 16 27.36
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 =
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 1 30.12 2 30.98 3 26.34 4 23.8 5 25.46 6 20.02 7 19.68 8 17.64 9 17.7 16.26 10 11 14.32 12 11.88 13 9.94 14 6.8 Question Help: Video Message instructor Submit Question Jump to Answer 80 F3 F4 F2 W 6 X H H # 3 E D $ R FL % F5 T 6 MacBook Air F6 & 7 Y G H AA F7 U * 00 8 J DII F8 I ( 9 DD F9 K 0
Based on the data shown below, calculate the regression line (each value to two decimal places)y = x y 2 17.72 3 19.58 4 21.24 5 22.6 6 25.56 7 28.62 8 30.78 9 31.74 10 36.4 11 35.96 12 38.62 13 42.18 14 43.14
Run a regression analysis on the following bivariate set of data with y as the response variable. x y 85.1 61.8 40.6 -11.4 36.9 -15.1 72.5 47.9 62 41.8 74.2 19.4 91.3 55.4 57.7 -2.1 84.5 52.1 94.2 55.2 87.8 83.3 51.3 7.1 58.4 -4.9 72.3 16.7 72.6 35.4 71.3 19.2 64.4 16.7 Verify that the correlation is significant at an α=0.05α=0.05. If the correlation is indeed significant, predict what value (on average) for the explanatory variable will give you a value of 72.4 on the response variable.What is the predicted explanatory value?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)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

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Based on the data shown below, calculate the regression line (each value to two decimal places) y = X y 23.21 25.22 22.53 8 21.24 9 18.55 10 17.26 11 12.97 12 12.28 13 11.39 14 8.9 5 6 7 X +