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This file contains development data for many countries around the… Image transcription textSUMMARY OUTPUT Regression Statistics Multiple R 0.45441858 R Square 0.20649625 Adjusted R Square0.14237473 Standard Error 2.88874907 Observations 108 ANOVA of 55 MS F Significance F Regression214.9898792 26.8737349 3.22038941 0.00270118 Residual 99 826.1422504 8.34487122 Total 10… Show more… Show moreThis file contains development data for many countries around the world. The columns in the files are as followsGDP – Growth rate of GDP per capitaPopulation density Population density (people per sq. km of land area)Prevalence of child malnutrition Prevalence of stunting, height for age (modeled estimate, % of children under 5)Maternal mortality ratio Maternal mortality ratio (modeled estimate, per 100,000 live births)Under-five mortality rate Mortality rate, under-5 (per 1,000 live births)Incidence of tuberculosis Incidence of tuberculosis (per 100,000 people)Mortality caused by road traffic injury Mortality caused by road traffic injury (per 100,000 population)Primary completion rate Completion of Primary education, total (% of relevant age group)Labor productivity GDP per person employed(a) regression ran – results are screenshot above(b) What can you say about the goodness of fit of the equation? Please explain.(c) Which independent variables have a significant coefficient in the regression? Please explain.  (d) Based on the results of your regression only, do you think that the quality of life (as measured by the independent variables) have an impact on growth rate of real GDP per capita? Please explain.(e) Is it possible that in addition to the independent variables in the above regression having an impact on GDP, the GDP also has an impact on the independent variables, i.e., it is not just the (X) variable that determine GDP, but GDP also determines the X variables? Please explain why this might happen (this is not a statistical explanation but an analysis of the variables.   Business Economics BC 807

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