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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 constant to three decimal places). X y 3 37.64 4 37.02 5 39.4 6 40.78 7 40.76 8 44.54 9 44.42 10 46.2 11 45.58 12 46.66 13 49.54 The equation is ŷ = =

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 constant to three decimal places). X y 3 37.64 4 37.02 5 39.4 6 40.78 7 40.76 8 44.54 9 44.42 10 46.2 11 45.58 12 46.66 13 49.54 The equation is ŷ = =

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 17HP
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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 constant to three decimal places). X y 3 37.64 4 37.02 5 39.4 6 40.78 7 40.76 8 44.54 9 44.42 10 46.2 11 45.58 12 46.66 13 49.54 The equation is ŷ
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 constant to three decimal places). X y 3 37.64 4 37.02 5 39.4 6 40.78 7 40.76 8 44.54 9 44.42 10 46.2 11 45.58 12 46.66 13 49.54 The equation is ŷ
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