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The fitted regression equation is PROX 2 Interpret the y-intercept of the equation: x

The fitted regression equation is PROX 2 Interpret the y-intercept of the equation: x

MATLAB: An Introduction with Applications
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 X represent the number of years after 2000 and Y the high temperature. Based on the data shown below, calculate the linear regression equation using technology (each number to three decimal places). y 32.88 30.9 29.62 30.94 29.46 31.08 4 5 6 7 8 9 10 30.3 11 33.22 12 32.44 13 30.96 14 31.18 J Click Download CSV to download csv file of data or copy/paste the data into Excel. After downloading the file, you may want to save it as an Excel Workbook. The fitted regression equation is y = Interpret the y-intercept of the equation: O In 2014, the temperature was about 31.18. In 2000, the temperature was about 30.722. In 2004, the temperature was about 30.722. In 2004, the temperature was about 0.051. 27 T
Transcribed Image Text:Annual high temperatures in a certain location have been tracked for several years. Let X represent the number of years after 2000 and Y the high temperature. Based on the data shown below, calculate the linear regression equation using technology (each number to three decimal places). y 32.88 30.9 29.62 30.94 29.46 31.08 4 5 6 7 8 9 10 30.3 11 33.22 12 32.44 13 30.96 14 31.18 J Click Download CSV to download csv file of data or copy/paste the data into Excel. After downloading the file, you may want to save it as an Excel Workbook. The fitted regression equation is y = Interpret the y-intercept of the equation: O In 2014, the temperature was about 31.18. In 2000, the temperature was about 30.722. In 2004, the temperature was about 30.722. In 2004, the temperature was about 0.051. 27 T
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