Coefficients reflect to a rate of change in the dependant variable which leads to one point change in dependant variable. For example, coefficient of -0,05 infers small negative influence of this explanatory variable on the dependant variable, while coefficient of 1.5 implies that 1.5 rate growth of this variable will lead to positive growth by one point of the explanatory variable.
The results of the regression model are as follows:
GDP ($, billions)= 568.04 + 16.07*Interest_Rate + 1.19*Disposable_Personal_Income -64.75*Personal_Savings_Rate + 0.5*Personal_Expenditure_On_Nondurables - 0.26*Personal_Expenditure_On_Durables.
Coefficients
Standard Error
Stat
P-value
Intercept
1.384E-16
Interest rate
4.089E-13
Disposable Personal Income
2.327E-88
Personal Savings Rate
5.196E-34
Personal Expenditure Nondurables
1.085E-05
Personal Exp Durables
The result suggest, that autonomous value of the GDP is rather high, or that explanatory variable that has big negative affect on GDP was not included in the model. Interest rate has the biggest positive affect on the GDP, while simple calculation of correlation between these two variables reflect large statistically significant negative correlation of -0.77.But the P. value of this variable is large negative which implies that the probability of not finding influence of this variable on GDP while there is influence, is very small. The results thus are misleading and not reliable.
Personal savings rate...
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