Based on the data shown below, calculate the regression line (each value to two decimal places)y = x + xy314.47414.16516.05618.24720.63820.42921.611023.21125.991225.381327.571428.061532.851631.84

Answer Given X Y 3 14.47 4 14.16 5 16.05 6 18.24 7 20.63 8…

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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x	y
3	14.47
4	14.16
5	16.05
6	18.24
7	20.63
8	20.42
9	21.61
10	23.2
11	25.99
12	25.38
13	27.57
14	28.06
15	32.85
16	31.84

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For the data shown below, Find the best -fit regression equation. 1.661 1.931 0.545 0.186 0.010 0.211 0.327 0.486 0.554 0.732 6.908 3.324 2.071 0.734 0.03 Y 0.802 1.253 1.825 2.128 2.779
Based on the data shown below, calculate the regression line and the correlation coefficient. Round each value to three decimal places. y = 14.43 15.86 21.09 4 23.42 22.35 6. 25.08 29.31 8 31.54 9. 31.97 10 36.3 11 39.93 一 N
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
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 5 18.35 16.44 7 17.43 8 17.32 9 18.51 10 18.8 11 15.59 12 15.88 13 17.47 14 17.56 15 15.55 16 18.74 17 17.83 18.12 19 15.41 20 18.7 Question Help: DVideo O 00
Run a regression analysis on the following bivariate set of data with y as the response variable. x y 43.2 -8.5 114.8 171 73.3 87.5 58.4 57.9 68.2 37.2 70.6 90.4 61.4 82.1 87.1 79.6 58 -9.2 78.4 77.2 80.5 87.3 64.1 22.9 54.3 32 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 20.7 on the response variable.What is the predicted explanatory value?x = (Report answer accurate to one decimal place.)
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
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
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
Annual high temperatures in a certain location have been tracked for several years. Let XX represent the year and YY the high temperature. Based on the data shown below, calculate the regression line (each value to two decimal places).y = x + x y 2 16 3 20.95 4 22.6 5 23.75 6 26.7 7 29.45 8 31.4 9 34.65 10 36.7 11 40.95 12 42.5

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Based on the data shown below, calculate the regression line (each value to two decimal places) y = x + x y 3 14.47 4 14.16 5 16.05 6 18.24 7 20.63 8 20.42 9 21.61 10 23.2 11 25.99 12 25.38 13 27.57 14 28.06 15 32.85 16 31.84