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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. Regression

Compute the least-squares regression line for predicting U.S. emissions from non-U.S. emissions. Round the Carbon foot print: Carbon dioxide (CO) is produced by burning fossil fuels such as oil and natural gas, and

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. Regression line equation: = Part: 1/3 Part 2 of 3 If the non-U.S. emissions differ by 0.2 from one year to the next, by how much would you predict the U.S. emissions to differ? Round the answer to four decimal places. The U.S. emissions would differ by metric tons. Part: 2/3 Part 3 of 3 Predict the U.S. emissions for a year when the non-U.S. emissions level is 3.4. Round the answer to two decimal places. The U.S. emissions are predicted to be X metric tons. Carbon foot print: 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. Year Non-U.S. U.S. 1990 3.6 19.2 1992 3.5 18.8 1993 3.3 19.7 1995 3.3 19.5 1997 3.4 20.0 1998 3.3 19.5 2001 3.3 19.6 2002 3.3 19.6 2003 3.5 19.4 2004 3.7 19.6 Source: World Bank Send data to Excel 27

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