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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

1.2. 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

Algebra & Trigonometry with Analytic Geometry
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter9: Systems Of Equations And Inequalities
Section9.8: Determinants
Problem 31E
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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 to70%? 1.10. How much of the variation in GDP per capita is explained exports?
Transcribed Image Text: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 to70%? 1.10. How much of the variation in GDP per capita is explained exports?
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 - Exports of goods and services (% of GDP) 1967 YR1967 1496.346 33.76289 1968 YR1968 2643.652 70.13977 1969 YR1969 3221.98 74.6 1970 YR1970 3552.456 73.68914 1971 YR1971 3464.162 65.78737 1972 YR1972 3670.196 59.375 1973 YR1973 3027.759 67.82763 1974 YR1974 3235.722 73.72035 1975 YR1975 3843.289 67.5504 1976 YR1976 4405.979 62.33179 1977 YR1977 4221.113 58.30164 1978 YR1978 3848.739 58.32012 1979 YR1979 3798.28 61.06242 1980 YR1980 3809.379 62.65911 1981 YR1981 4216.91 64.68711 1982 YR1982 4451.251 58.54602 1983 YR1983 4922.323 53.6516 1984 YR1984 5463.98 50.28061 1985 YR1985 5949.347 49.82783 1986 YR1986 5824.481 39.24652 1987 YR1987 5420.347 48.87794 1988 YR1988 5544.257 40.0062 1990 YR1990 5730.261 47.23007 1991 YR1991 5816.393 43.06549 1992 YR1992 6021.192 44.71689 1993 YR1993 6111.329 43.05105 1994 YR1994 6122.693 43.00123 1995 YR1995 6265.727 44.03535 1996 YR1996 6363.114 49.81019 1997 YR1997 6707.723 50.03695 1998 YR1998 6878,537 41.96959 1999 YR1999 6860.69 48.6876 2000 YR2000 7189.592 53.68904 2001 YR2001 7423.522 51.7027 2002 YR2002 7216.37 49.10328 2003 YR2003 6872.741 49.75836 2004 YR2004 6792.592 51.37792 2005 YR2005 6779.529 58.27964 2006 YR2006 6951.33 56.17247 2007 YR2007 7052.083 56.48321 2008 YR2008 7370.146 58.48041 2009 YR2009 7480.149 50.63611 2010 YR2010 7413,51 67.48575 2011 YR2011 6858.616 72.82669 2012 YR2012 6969.325 71.55757 2013 YR2013 6758.677 75.37815 2014 YR2014 6492.106 70.24787 2015 YR2015 6413.444 57.1371 2016 YR2016 6413.105 47.41535 2017 YR2017 6177.797 52.3582 2018 YR2018 6073.839 58.25848 2019 YR2019 5925.678 58.16216 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 CDD
Transcribed Image Text: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 - Exports of goods and services (% of GDP) 1967 YR1967 1496.346 33.76289 1968 YR1968 2643.652 70.13977 1969 YR1969 3221.98 74.6 1970 YR1970 3552.456 73.68914 1971 YR1971 3464.162 65.78737 1972 YR1972 3670.196 59.375 1973 YR1973 3027.759 67.82763 1974 YR1974 3235.722 73.72035 1975 YR1975 3843.289 67.5504 1976 YR1976 4405.979 62.33179 1977 YR1977 4221.113 58.30164 1978 YR1978 3848.739 58.32012 1979 YR1979 3798.28 61.06242 1980 YR1980 3809.379 62.65911 1981 YR1981 4216.91 64.68711 1982 YR1982 4451.251 58.54602 1983 YR1983 4922.323 53.6516 1984 YR1984 5463.98 50.28061 1985 YR1985 5949.347 49.82783 1986 YR1986 5824.481 39.24652 1987 YR1987 5420.347 48.87794 1988 YR1988 5544.257 40.0062 1990 YR1990 5730.261 47.23007 1991 YR1991 5816.393 43.06549 1992 YR1992 6021.192 44.71689 1993 YR1993 6111.329 43.05105 1994 YR1994 6122.693 43.00123 1995 YR1995 6265.727 44.03535 1996 YR1996 6363.114 49.81019 1997 YR1997 6707.723 50.03695 1998 YR1998 6878,537 41.96959 1999 YR1999 6860.69 48.6876 2000 YR2000 7189.592 53.68904 2001 YR2001 7423.522 51.7027 2002 YR2002 7216.37 49.10328 2003 YR2003 6872.741 49.75836 2004 YR2004 6792.592 51.37792 2005 YR2005 6779.529 58.27964 2006 YR2006 6951.33 56.17247 2007 YR2007 7052.083 56.48321 2008 YR2008 7370.146 58.48041 2009 YR2009 7480.149 50.63611 2010 YR2010 7413,51 67.48575 2011 YR2011 6858.616 72.82669 2012 YR2012 6969.325 71.55757 2013 YR2013 6758.677 75.37815 2014 YR2014 6492.106 70.24787 2015 YR2015 6413.444 57.1371 2016 YR2016 6413.105 47.41535 2017 YR2017 6177.797 52.3582 2018 YR2018 6073.839 58.25848 2019 YR2019 5925.678 58.16216 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 CDD
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