The purpose of this analysis is to model available atmospheric carbon dioxide data with a quadratic function of the form f(x) = ax2 + bx + x.  In the space below, type the model quadratic function for the relationship between year and mean carbon dioxide levels in standard mathematical form using the coefficients calculated on the spreadsheet.          Using the model equation, determine the mean atmospheric carbon dioxide levels in the year 2030.             Using the model equation, determine the mean atmospheric carbon dioxide levels in the year 2050.             What other factors might need to be taken into account to provide a more robust model to make predictions              regarding future atmospheric carbon dioxide levels?

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  1. The purpose of this analysis is to model available atmospheric carbon dioxide data with a quadratic function of the form f(x) = ax2 + bx + x.  In the space below, type the model quadratic function for the relationship between year and mean carbon dioxide levels in standard mathematical form using the coefficients calculated on the spreadsheet.

         Using the model equation, determine the mean atmospheric carbon dioxide levels in the year 2030.

 

          Using the model equation, determine the mean atmospheric carbon dioxide levels in the year 2050.

 

          What other factors might need to be taken into account to provide a more robust model to make predictions              regarding future atmospheric carbon dioxide levels? 

Mean Co2 Level
410 y = 0.0132x² - 51.039x +49534
390
370
350
330
310
1940 1960
1980 2000 2020 2040
Year
Mean CO2 Level
(ppm)
Poly. (Mean CO2 Level
(ppm))
Transcribed Image Text:Mean Co2 Level 410 y = 0.0132x² - 51.039x +49534 390 370 350 330 310 1940 1960 1980 2000 2020 2040 Year Mean CO2 Level (ppm) Poly. (Mean CO2 Level (ppm))
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