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Johnson Morgan Stanley _ Briefly Summary
1. 1
Johnson, Morgan and Stanley.
Data Retrieved from Measuring Worth: www.MeasuringWorth.com
Johnson Morgan & Stanley Financial Consulting
Purpose
To determine if the independent variables would be significant in explaining any of the variance in the US Nominal
GDP.
Summary
A variety of regression models were run with different variable combinations
The best regression model was the Gold, Hourly, Exchange model for the
following reasons:
All three variables were significant.
99.10% of the variance is explained.
This model had the lowest Standard Error Value compared to all other models.
A comparison table was formulated, along with the Cp stat, to review the All Variables model and the
Gold, Hourly, Exchange model.
A partial F test was run comparing the individual variables of Gold, Hourly, and Exchange to all others.
The tests concluded that each model proved significant enough to reject the null hypothesis
All Variables Gold, Hourly and Exchange
Cp Stat 7 8.141883521
k + 1 7 4
R2
0.993094619 0.991039726
R2
adjusted 0.991368274 0.99004414
Conclusion
This equation explains that with every dollar change such as a $1.00 increase in the price of gold, US Nominal GDP
will decrease by $1738.482365 (in millions) of dollars. Conversely every dollar change in the US Exchange rate to
the British pound, US Nominal GDP will increase by $707994.9045 (in millions) of dollars, and with every dollar
increase in the CPI bundle, there is an ultimate increase of US Nominal GDP by $318.7946712.
We suggest that the said variables are used to measure US Nominal GDP rate.