**Annual High Temperatures Regression Analysis**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).\[ y = \Box \times + \Box \]**Data Table:**| \( x \) | \( y \) ||--------|--------|| 3 | 17.36 || 4 | 17.88 || 5 | 18.6 || 6 | 23.12 || 7 | 24.04 || 8 | 24.46 || 9 | 25.68 || 10 | 29.7 || 11 | 31.62 |**Instructions:**To find the regression line, use the given data points to determine the best-fit line equation. This typically involves calculating the slope (\( m \)) and the y-intercept (\( b \)) using statistical formulas. Once determined, input your results in the equation format \( y = mx + b \).

X Y X×Y X×X 3 17.36 52.08 9 4 17.88 71.52 16 5 18.6 93 25 6 23.12 138.72 36 7 24.04 168.28…

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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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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
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Annual high temperatures in a certain location have been tracked for several years. Let and Y the high temperature. Based on the data shown below, calculate the regression line (each value to two decimal places). y = X + 17.36 4. 17.88 18.6 6. 23.12 7 24.04 8 24.46 9. 25.68 10 29.7 11 31.62