A) Compute the last-squares regression line for predicting US emission from NON US - emissions.b) If the non-US emission differ by 0.2 from one year to the next by how much would you predict the US- emission to differ? 24. Carbon footprint: Carbon dioxide (CO₂) is produced by burning fossil fuels such as oil and natural gas, and has been connected toglobal warming. The following table presents the average amounts (in metric tons) of CO₂ emissions for the years 1997-2013 perperson in the United States and per person in the rest of the world.Year Non-U.S. U.S.199719981999200120022000 3.320032004200520063.4 20.020073.33.23.33.33.53.819.52008 4.719.62009 4.620.03.7 19.619.619.619.43.7 19.04.7 19.2Source: World Bank19.518.517.22010 4.6 17.52011 5.0 17.02012 5.0 16.32013 5.0 16.4

Given that: Year Non-U.S. U.S. 1997 3.4 20 1998 3.3 19.5 1999 3.2 19.6 2000 3.3 20 2001…

A) Compute the last-squares regression line for predicting US emission from NON US - emissions. b) If the non-US emission differ by 0.2 from one year to the next by how much would you predict the US- emission to differ?

A) Compute the last-squares regression line for predicting US emission from NON US - emissions. b) If the non-US emission differ by 0.2 from one year to the next by how much would you predict the US- emission to differ?

College Algebra

1st Edition

ISBN:9781938168383

Author:Jay Abramson

Publisher:Jay Abramson

Chapter6: Exponential And Logarithmic Functions

Section6.7: Exponential And Logarithmic Models

Problem 2SE: Is carbon dating? Why does it work? Give an example in which carbon dating would be useful.

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Carbon foot print: Carbon dioxide CO2 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 CO2 emissions for certain years per person in the United States and per person in the rest of the world. Year Non-U.S. U.S. 1993 3.3 19.7 1994 3.3 19.8 1995 3.3 19.5 1996 3.4 19.7 1997 3.4 20.0 1999 3.2 19.6 2000 3.3 20.0 2001 3.3 19.6 2004 3.7 19.6 Compute the least-squares regression line for predicting U.S. emissions from non-U.S. emissions. Round the slope and y-intercept to at least four decimal places.
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