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Exam1.Summer2021.File1.xlex contains data for each country for the period 1960 - 2015 Exam1.Summer2021.File2.xlex contains data for France and Germany for the period 1960 - 2015.
Exam1.Summer2021.File1.xlex contains data for each country for the period 1960 - 2015 Exam1.Summer2021.File2.xlex contains data for France and Germany for the period 1960 - 2015. Exam1. Summer2021.File3.xlex contains data for Canada and USA for the period 1960 - 2015. (a) Using the data set Exam 1.Summer2021.File1.xlsx, please run a regression with redppc (RealGDP per capita) as the dependent (Y) variable and all other variables exports, money, stir, revenue, thh, tbus, debtgap as the independent (X) variables. Please copy and paste your Excel output into your word document and do not submit your Excel file (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) Using the data set Exam1.Summer2021.File2.xlex, please run a regression with redppc (RealGDP per capita) as the dependent (Y) variable and all other variables exports, money, stir, revenue, thh, tbus, debtgap as the independent (X) variables. Please copy and paste your Excel output into your word document and do not submit your Excel (e) What can you say about the goodness of fit of the regression in (d)? Please explain. (f) Which independent variables have a significant coefficient in the regression in (d)? Please explain. (g) Using the data set Exam1.Summer2021.File3.xlex, please run a regression with redppc "RealGDP per capita) as the dependent (Y) variable and all other variables exports, money, stir, revenue, thh, tbus, debtgap as the independent (X) variables. Please copy and paste your Excel output into your word document and do not submit your Excel file (h) What can you say about the goodness of fit of the regression in (g)? Please explain. (i) Which independent variables have a significant coefficient in the regression in (g)? Please explain. (j) Which regression, the one in (a) or the one in (d), or the one in (g) is a better fit for the data? Please explain
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