Using the model of Example 4, estimate the concentration of carbon dioxide in the atmosphere in the

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Using the model of Example 4, estimate the concentration of carbon dioxide in the atmosphere in the year 1990.


Data from Example 4

Table 3 contains information about the concentration of carbon dioxide (CO2) in the atmosphere. The linear regression model for the data is C = 360 + 2.04t where C is the concentration (in parts per million) of carbon dioxide and t is the time in years with t = 0 corresponding to the year 1995.

Interpret the slope of the regression line as a rate of change.

Use the regression model to predict the concentration of CO2 in the atmosphere in 2025.

Table 3 Atmospheric Concentration of CO2 (parts per million) 1995 361 2000 2005 2010 370 380 390 2015 402

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Finite Mathematics For Business Economics Life Sciences And Social Sciences

ISBN: 9780134862620

14th Edition

Authors: Raymond Barnett, Michael Ziegler, Karl Byleen, Christopher Stocker

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