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Regression Formula

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Gold Trackers monitors the price of precious metals and has daily data on prices and sales of gold for the past several years. One of their new MBA financial wizards has estimated the following relationship for gold sales in the past year of trading (250 observations):

Q = 4000 ? 0.01P + 1.5I ? 1.25X + 2.0S R? = 0.96
(857) (0.002) (0.65) (0.44) (0.48)

Where Q is daily sales of gold in troy ounces, P is the price of gold in dollars per troy ounce, I is the most recent one month report on U.S. inflation (in percent), X is an index of the exchange rate of the U.S. dollar compared to seven other currencies, and S is the market price of an ounce of silver in dollars. Standard errors are in parentheses.

a. Evaluate the results of this regression.
b. Recently the price of gold has been $380 per ounce, inflation was measured at 0.2% for the month, the dollar has been trading at an index value of 99.7 on the foreign exchange market, and silver has been steady at $4.75 per ounce. What is the expected quantity of gold that will trade on a daily basis?
c. Are gold and silver substitutes or complements? Explain.

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Solution Summary

Evaluate the results of this regression.

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Please refer to the attachment.
<br>* Because some symbols are missing in your regression, I assume the above equation by principles of economics. If there's anything wrong with the simulation, just follow my steps and work out the correct answer given full information.
<br>a. Evaluate the results of this regression.
<br>Because R squared is the proportion of total variation in the sample Q ...

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