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Sterilite MAT 152 Project 5 Data Global Health Data Set Country Life Expectancy d. You may have noticed that the United States was not included in the data set you were GDP per % Spending Corruptions given. Below are the relevant statistics for the United States. VS. GDP ( x) Australia (y) capita (x) Score (x ) 32.7 53825 9 .1 21 Austria United States 81.7 50023 10.3 24 Life Expectancy (y) 78.5 Belgium 81.6 45176 10 Canada 23 81.9 46213 10.4 17 GDP per capita (x) 59531.7 Chile 80 23667 8.1 30 % Spending versus GDP (x) 17.17 Czech Republic 79 23214 7 .1 44 Inverted Corruptions Score ( X ) France 82.7 41761 11.5 30 Germany 30.9 46564 Using the regression model that you calculated in part b, plug in the appropriate x-value 11.3 19 Hungary for the United States to make a prediction of Life Expectancy. Also, calculate the 76.1 28328 72 49 residual value ( difference between your prediction and the actual value ) . Does the Iceland 32.9 67037 8 .5 21 United States seem to fit in your model or is it an outlier ? Give the reason (s ) for your Israel 32.8 12823 7.4 39 answer. Japan 40847 10.7 25 Summarize your findings. If you were part of a United Nations team tasked with Netherlands 81.8 52368 10.1 16 Norway 82.8 thing and making recommendations to member countries to improve life 77975 10.4 12 expectancy for their citizens, what would be your next steps? Poland 77.6 29291 6.7 37 Portugal 81.3 23031 9 36 Slovak Republic 77.3 19548 7 49 Slovenia 31.4 26170 8 40 Sweden 82 6 51242 10.9 Switzerland 83.2 83717 12.3 14 Turkey 77.4 28242 4.2 United Kingdom 82.3 41030 9.6 Sources: Corruptions Perceptions Index 2015: http:/www.transparencyorg/co/2015; OECD Health Statistics: https/www.occd-libraryorg/soc Life expectancy al birth, total years: https:/data.world -migration-health/data/oecd-health ator/SPDYN.LEQQ.IN?and=2015&s Data Dictionary: Life Expectancy. the average time (in years) a constituent of each location is expect the year of their birth. GDP per capita: a measure of economic output found by dividing the location's Gros is total population (measured in US Dollars). Health spending per capita: a measure of total resources spent on health care in a calculated by dividing total national health expenditures by the population ( measured % Spending versus GDP : the percentage of a location's Gross Domestic Product Corruptions Score : A measure of the percei rated by global corruption experts ( in Corruption, 100 would be most Corrupt )d. You may have noticed that the United States was not included in the data set you were given. Below are the relevant statistics for the United States. United States Life Expectancy (y) 78.5 GDP per capita (x) 59531.7 % Spending versus GDP (x) 17.17 Inverted Corruptions Score (x) 24 Using the regression model that you calculated in part b, plug in the appropriate x-value for the United States to make a prediction of Life Expectancy. Also, calculate the residual value (difference between your prediction and the actual value). Does the United States seem to fit in your model or is it an outlier? Give the reason(s) for your answer. e. Summarize your findings. If you were part of a United Nations team tasked with researching and making recommendations to member countries to improve life expectancy for their citizens, what would be your next steps