Levels оf cаrbоn diоxide (CO2) in the аtmosphere аre rising rapidly, far above any levels ever before recorded. Levels were around 278 parts per million in 1800, before the Industrial Age, and had never, in the hundreds of thousands of years before that, gone above 300 ppm. Levels are now over 400 ppm. The table below shows the rapid rise of CO2 concentrations over the 55 years from 1960–2015, also available in CarbonDioxide.1 We can use this information to predict CO2 levels in different years. (14) 1Dr. Pieter Tans, NOAA/ESRL, http://www.esrl.noaa.gov/gmd/ccgg/trends/. Values recorded at the Mauna Loa Observatory in Hawaii. Concentration of carbon dioxide in the atmosphere Year CO2 1960 316.91 1956 320.04 1970 325.68 1975 331.11 1980 338.75 1985 346.12 1990 354.39 1995 360.82 2000 369.55 2005 379.80 2010 389.90 2015 400.83 Click here for the dataset associated with this question. Use the 3-e version of the dataset. If using StatKey, the data needed is preloaded in the drop-down menu in the upper left corner. Click here to access StatKey. (a) What is the explanatory variable? What is the response variable? Select answer 1). CO2 concentration is the explanatory variable and Year is the response variable. 2). Year is the explanatory variable and CO2 concentration is the response variable. (b) Use technology to find the correlation between year and CO2 levels. Round your answer to three decimal places. r =___________ (c) Use technology to calculate the regression line to predict CO2 from year. Round your answer for the intercept to one decimal place and your answer for the slope to three decimal places. C O ^ 2 = _ _ _ _ _ _ _ _ _ _ _ _ _ ( y e a r ) (d) Interpret the slope of the regression line, in terms of carbon dioxide concentrations. Select answer from the options below 1). The slope tells the predicted number of years for the CO2 level to go up by that amount. 2). The slope tells the predicted number of years for the CO2 level to go up by one. 3). The slope tells the predicted change in CO2 level one year later. 4). The slope tells the predicted CO2 level one year later. (e) What is the intercept of the line? Round your answer to one decimal place. The intercept is _____________ . Does it make sense in context? Yes or No _____ (f) Use the regression line to predict the CO2 level in 2003. Use rounded slope and the intercept from part (c), then round your answer to one decimal place. CO2 level in 2003 = __________________ Use the regression line to predict the CO2 level in 2025. Use rounded slope and the intercept from part (c), then round your answer to one decimal place. CO2 level in 2025 = _______________________ (g) Find the residual for 2010. Use rounded slope and the intercept from part (c), then round your answer to two decimal places. Residual for 2010 = ______________________