A researcher wants to know the determinants of the GDP per capita in Oman. To help the researcher, please answer the following questions. 1.1. Write down a list of one dependent and five independent variables. The researcher downloaded the GDP per capita and Export % of GDP) data for OMAN as given in the following table (The data is available in the excel file in Moodle). Time Time Code Y. GDP per capita X - Esports of goods and services of GDP) 1967 YR.1967 1496.346 33.76289 1968 YR198 2643652 70.13977 1969 YR1909 3221.98 746 1970 YR1970 3552.456 73.68914 1971 YR1971 1464.162 65.78737 1972 YR1972 3670.196 59.375 1973 YR 1973 3027.759 6782763 1974 YR 1974 3235.722 73.72035 1975 YR1975 3843.289 675504 1976 YR1976 4105.979 62.33179 1977 YR1977 4321.113 58 30164 1978 YR1978 3848.739 58:32012 1979 YR1979 3798.23 61.06242 1980 YR1980 300379 62.65911 1981 YR1981 421691 6468711 1982 YR 1962 4451.251 5R54602 1983 YR 1983 4922323 53.6516 1984 YR 1984 5463.90 50.28061 1985 YR1985 9949.147 4982783 1986 YR 1986 $ 24451 39.24652 1987 VR1967 48877 1988 YR1985 5544.299 100062 1990 YR1990 5730.261 47.23007 1991 YR1991 5516,393 43.06519 1992 YR 1992 601.192 44.71689 1993 YR1993 6111329 43.65105 YR 1994 6122.693 43.00123 1995 YR 1995 6365.727 44.03535 1996 YR 1995 6363.114 49.81019 1997 YR 1997 6707.723 50403695 1998 YR 1998 6878.337 41.96959 1999 YR1992 68600 48 6876 2000 VR2000 7189.592 53.68904 2001 YR2001 7423.522 51.7027 2002 YR 2000 721637 49.10328 2003 YR2003 6872.741 19.75836 2004 YR 2004 6792.992 5132 2005 YR2005 6779.529 58.27964 2006 YR 2005 951.33 56.17247 2007 YR.2007 7052.00 56.48321 2006 VR 2008 2370146 58.48041 2009 YR 2009 M40.149 50.63611 2010 YR 2010 2413.51 67.48575 2011 YR2011 6858.616 72.83669 2012 YR 2012 9 325 7155789 2013 YR.2013 6758.677 75.37815 2014 YR.2014 6492.106 70.24787 2015 YR 2015 6413.444 57.1371 2016 YR 2016 6413.105 47.41515 2017 VR 2017 6177.797 52 3582 2018 YR 2018 6073.619 58 25848 2019 YR 2019 9925.678 58.16216 5420 147 1.2. What kind of data is given in the table above. 1.3. Do you expect a positive or negative relationship between variables? 1.4. Make a scatter plot of the GDP per capita and exports in Excel and interpret the graph 1.5. Estimate the following simple regression between GDP per capita and export using EXCEL and interpret the results, (. The data is available in excel in Moodle. 1.6. Comment on the direction of the relationship between the variables from the regression. Is it what you expected? 1.7. Test the hypothesis that is 0 at 5% level of significance. 1.8. Test the hypothesis that is 30 at 5% level of significance 1.9. The export share in 2019 is 58.16 in (as shown in the table). What is the predicted GDP per capita if the export share increases to 70%? 1.10. How much of the variation in GDP per capita is explained exports? Important Formulas with (n-1) degree of freedom
