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 2 decimal places). y 3 28.94 4 31.82 31.9 6. 32.58 7 33.96 8 30.44 9. 31.02 10 34.7 11 31.88 12 31.56 13 33.44 14 35.92 The equation is ŷ = X + %3D Interpret the slope For each additional year, the annual high temperature will increase by 29.72 degrees on average. For each additional year, the annual high temperature will increase by 0.31 degrees on average. For each additional 0.31 years, the annual high temperature will increase by 1 degree on average. For each additional 29.72 years, the annual high temperature will increase by 1 degree on average. Interpret the y-intercept In 2014, the temperature was about 35.92. It does not make sense to interpret the intercept in this scenario. In 2000, the temperature was about 29.72. In 2003, the temperature was about 29.72. In 2003, the temperature was about 0.31.

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 2 decimal places). y 3 28.94 4 31.82 31.9 6. 32.58 7 33.96 8 30.44 9. 31.02 10 34.7 11 31.88 12 31.56 13 33.44 14 35.92 The equation is ŷ = X + %3D Interpret the slope For each additional year, the annual high temperature will increase by 29.72 degrees on average. For each additional year, the annual high temperature will increase by 0.31 degrees on average. For each additional 0.31 years, the annual high temperature will increase by 1 degree on average. For each additional 29.72 years, the annual high temperature will increase by 1 degree on average. Interpret the y-intercept In 2014, the temperature was about 35.92. It does not make sense to interpret the intercept in this scenario. In 2000, the temperature was about 29.72. In 2003, the temperature was about 29.72. In 2003, the temperature was about 0.31.

Name: Annual high temperatures in a certain location have been tracked for
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Description: Annual high temperatures in a certain location have been tracked for several years. Let X represent thenumber of years after 2000 and Y the high temperature. Based on the data shown below, calculate the linearregression equation using technology (ea

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter7: Analytic Trigonometry

Section7.6: The Inverse Trigonometric Functions

Problem 93E

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