4. Certain countries experience rainy seasons and dry seasons. The amount of rainfall for one season can be modeled by the equation y = -0.015x' + 1.52 where y is the amount of daily rainfall, in inches, and a is the number of days into the rainy season. a. What is the predicted number of inches of rainfall 20 days into the rainy season? b. Describe how the daily rainfall changes with respect to the number of days into the rainy season. 5. Data for the annual global CO, emissions from aviation, measured in millions of tons, is given in the table and shown in the graph. Year 2010 2011 2012 2013 2014 2015 2016 2017 / 2018 2019 Global CO, Emissions from Aviation (in millions of tons) |676.2 710 745.5 783.8 821.9 863.1 906.2 953.5 999.04 1048.9 a. A linear model for the data is given by y = 41.36962 + 664.651 , where z is the number of years since 2010 and y is the global CO, emissions in millions of tons. How many millions of tons of global CO, does the model predict were emitted in 2015 ? 200 -700 Global CO2 Emissions (Millions of Tons 500 b. Calculate the residual for the year 2015 . What does this value represent? 200 C. A residual plot is shown for the linear model. Does a linear model seem to be Years since 2010 appropriate for this data? Explain why or why not. 10 Residuals -6 4 3 36 8 9 10 Years since 2010 d. Describe how the global CO, emissions from aviation are changing over time. e. What other model might be a better fit for this data? Explain