In: Economics
One economic development strategy suggests that some economies benefit from having government policies that promote growth in manufacturing and growth in exports. A regression analysis is undertaken (using the following data) from a sample of countries that operate these types of policies.
Country |
Growth GDP (Y) |
Growth Manufacturing (X1) |
GrowthExports (X2) |
China |
11.0 |
7.3 |
14.4 |
Hong Kong |
7.1 |
10.2 |
6.2 |
Japan |
10.5 |
6.0 |
14.0 |
Korea |
9.7 |
13.1 |
13.8 |
Malaysia |
4.9 |
8.0 |
9.8 |
Singapore |
6.1 |
5.9 |
8.1 |
Thailand |
7.0 |
8.1 |
12.8 |
Mean |
8.0 |
8.4 |
11.3 |
A summary of the multiple regression analysis undertaken in Excel is reported below.
SUMMARY OUTPUT |
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Regression Statistics |
||||||
Multiple R |
0.746 |
|||||
R Square |
0.556 |
|||||
Adjusted R Square |
0.334 |
|||||
Standard Error |
1.918 |
|||||
Observations |
7 |
|||||
ANOVA |
||||||
df |
SS |
MS |
F |
Significance F |
||
Regression |
2 |
18.439 |
9.220 |
2.506 |
0.197 |
|
Residual |
4 |
14.718 |
3.679 |
|||
Total |
6 |
33.157 |
||||
Coefficients |
Standard Error |
t Stat |
P-value |
Lower 95% |
Upper 95% |
|
Intercept |
1.389 |
3.781 |
0.367 |
0.732 |
-9.109 |
11.886 |
X1 |
0.075 |
0.308 |
0.245 |
0.819 |
-0.780 |
0.931 |
X2 |
0.533 |
0.240 |
2.221 |
0.091 |
-0.133 |
1.199 |
State the multiple regression model for this data and interpret all the slope coefficients.
Question 11
Using the Excel output from Question 10, at a 0.05 level of significance test the significance of the individual independent variables and the overall regression model.
Question 12
Using the Excel output from Question 10, comment on the goodness of fit of the model.
Given data:
Country |
Growth GDP (Y) |
Growth Manufacturing (X1) |
Growth Exports (X2) |
China |
11.0 |
7.3 |
14.4 |
Hong Kong |
7.1 |
10.2 |
6.2 |
Japan |
10.5 |
6.0 |
14.0 |
Korea |
9.7 |
13.1 |
13.8 |
Malaysia |
4.9 |
8.0 |
9.8 |
Singapore |
6.1 |
5.9 |
8.1 |
Thailand |
7.0 |
8.1 |
12.8 |
Mean |
8.0 |
8.4 |
11.3 |
Multiple regression equation
y^ = 1.389+0.075X1+0.533*2
Or
Growth GDP = 1.389+0.075(Growth Manufacturing) + 0.533(Growth Exports)
Slope coefficient of growth manufacturing = 0.075
That means if we increase per unit growth manufacturing the growth GDP increase by 0.075, keeping growth exports constant.
Slope coefficient of growth exports = 0.533
That means if we increase per unit growth exports the growth GDP increase by 0.533, keeping growth manufacturing constant.
Intercept = 1.389
The estimated mean value of growth GDP is 1.389.