Using R-Studio, estimate a regression equation to determine the effect of the real interest rates, the exchange rate and the GDP growth rate on the Merchandise trade (% of GDP). (All codes and regression output should be provided). NOTE: R-Studio should only be used for obtaining the regression output and the regression equation. (i) Write down the regression equation. Year Merchandise trade (% of GDP) Real interest rates (%), GDP growth (annual %) Official exchange rate (per US$). 2000 150.28 10.05 -1.4 182.43 2001 149.12 16.63 2.3 187.32 2002 144.60 13.36 1.1 190.67 2003 146.56 9.81 -0.6 193.88 2004 157.91 7.27 1.6 198.31 2005 162.57 6.42 -2 199.88 2006 62.06 -58.33 5.1 200.19 2007 63.64 5.91 7.2 202.35 2008 69.65 4.44 1.6 203.63 2009 60.78 13.56 3.9 203.95 2010 66.33 9.79 3.8 203.64 2011 78.56 11.91 5.3 204.02 2012 84 8.83 5.4 204.36 2013 77.98 14.11 3.7 205.39 2014 71.66 15.26 1.7 206.45 2015 61.76 9.54 0.7 206.45 2016 64.45 11.99 3.8 206.50 2017 64.89 10.67 3.7 206.50 2018 79.10 16.36 4.4 207.72 2019 108.37 7.30 5.4 208.50
Using R-Studio, estimate a regression equation to determine the effect of the real
interest rates, the exchange rate and the GDP growth rate on the Merchandise trade
(% of GDP). (All codes and regression output should be provided). NOTE: R-Studio
should only be used for obtaining the regression output and the regression equation.
(i) Write down the regression equation.
|
Year |
Merchandise trade (% of GDP) |
Real interest rates (%), |
GDP growth (annual %) |
Official exchange rate (per US$). |
|
2000 |
150.28 |
10.05 |
-1.4 |
182.43 |
|
2001 |
149.12 |
16.63 |
2.3 |
187.32 |
|
2002 |
144.60 |
13.36 |
1.1 |
190.67 |
|
2003 |
146.56 |
9.81 |
-0.6 |
193.88 |
|
2004 |
157.91 |
7.27 |
1.6 |
198.31 |
|
2005 |
162.57 |
6.42 |
-2 |
199.88 |
|
2006 |
62.06 |
-58.33 |
5.1 |
200.19 |
|
2007 |
63.64 |
5.91 |
7.2 |
202.35 |
|
2008 |
69.65 |
4.44 |
1.6 |
203.63 |
|
2009 |
60.78 |
13.56 |
3.9 |
203.95 |
|
2010 |
66.33 |
9.79 |
3.8 |
203.64 |
|
2011 |
78.56 |
11.91 |
5.3 |
204.02 |
|
2012 |
84 |
8.83 |
5.4 |
204.36 |
|
2013 |
77.98 |
14.11 |
3.7 |
205.39 |
|
2014 |
71.66 |
15.26 |
1.7 |
206.45 |
|
2015 |
61.76 |
9.54 |
0.7 |
206.45 |
|
2016 |
64.45 |
11.99 |
3.8 |
206.50 |
|
2017 |
64.89 |
10.67 |
3.7 |
206.50 |
|
2018 |
79.10 |
16.36 |
4.4 |
207.72 |
|
2019 |
108.37 |
7.30 |
5.4 |
208.50 |
|
|
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