(a) Compute the least-squares regression line for predicting U.S, emissions from non-U.S. emissions.Round the slope and y-intercept values to four decimal places. Carbon dioxide (CO,) is produced by burning fossil fuels such as oil and natural gas, and has been connected to global warming.The following table presents the average amounts (in metric tons) of CO, emissions for certain years per person in the UnitedStates and per person in the rest of the world. Use a TI-84 calculator to answer the following.YearNon-U.S.U.S.19903.619.219913.619.019923.518.819933.319.719943.319.819953.319.519963.419.720003.320.020013.319.620063.719.0 (a) Compute the least-squares regression line for predicting U.S. emissions from non-U.S. emissions.Round the slope and y-intercept values to four decimal places.Regression line equation: y

Year Non-U.S (x) U.S (y) x*y x2 1990 3.6 19.2 69.12 12.96 1991 3.6 19.0 68.4 12.96 1992 3.5…

Answered: (a) Compute the least-squares…

(a) Compute the least-squares regression line for predicting U.S. emissions from non-U.S. emissions. Round the slope and y-intercept values to four decimal places. Regression line equation:

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 6PPS

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Question

(a) Compute the least-squares regression line for predicting U.S, emissions from non-U.S. emissions. Round the slope and y-intercept values to four decimal places.

Carbon dioxide (CO,) is produced by burning fossil fuels such as oil and natural gas, and has been connected to global warming.
The following table presents the average amounts (in metric tons) of CO, emissions for certain years per person in the United
States and per person in the rest of the world. Use a TI-84 calculator to answer the following.
Year
Non-U.S.
U.S.
1990
3.6
19.2
1991
3.6
19.0
1992
3.5
18.8
1993
3.3
19.7
1994
3.3
19.8
1995
3.3
19.5
1996
3.4
19.7
2000
3.3
20.0
2001
3.3
19.6
2006
3.7
19.0

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