ing Real World Relat Purpose: To use the concepts developed in Precalculus to model an actual make a prediction. In this case we will model global warming The data: The following table summarizes the average yearly temperature (F")and carbon dioxide 2005 Year 096 1965 S661 45.86 0007 46.23 Temperature 44.45 0661 47.53 45.53 emissions in parts per million (ppm) measured at Mauna Loa, Hawaii 1970 1975 1980 1985 CO2 379.7 43.29 369.4 43.61 320.0 325.7 331.1 45.71 99'9t 345.9 316.9 43.35 360.6 Emissions 354.2 338.7 Defining our variables: t = years after 1960, T = Temperature, and C = CO2 emissions. We will use the data from the years 1960 and 1990 for our models. Describe the Relationship That is, for t = 0, T = 44.45 and C = 316.9 while for t = 30, T = 45.53 and C = 354.2 dels the orature data Tre 2) Modeling CO2 emissions a) Use the data from 1960 and 1990 to find a linear function that models the CO2 emissions b) Use your linear function to predict the CO2 emissions in 2005. Compare your prediction with the actual CO2 emissions in 2005. omirrions data from 1960 throIueh 2005.

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