Question
Consider the following results of a multiple regression model of dollar price of unleaded gas (dependent variable) and a set of independent variables: price of
Consider the following results of a multiple regression model of dollar price of unleaded gas (dependent variable) and a set of independent variables: price of crude oil, value of S&P500, price U.S. Dollars against Euros, personal disposal income (in million of dollars) :
| Coefficient | t-statistics | |
| Intercept | 0.5871 | 68.90 |
| Crude Oil | 0.0651 | 32.89 |
| S&P 500 | -0.0020 | 18.09 |
| Price of $ | -0.0415 | 14.20 |
| PDI | 0.0001 | 17.32 |
R-Square = 97% What is the interpretation of R-Square?
| 97% of the movement in unleaded gas price can be explained by changes in crude oil prices. | ||
| 97% of the movement in unleaded gas price can be explained by this forecasting model. | ||
| the sum of squared residuals is close to 97%. | ||
| 97% of the time this forecasting model will correctly predict the price of unleaded gas. |
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Electronic Waste An Actual Gold And Silver Mine
Authors: Antonio Alcivar
1st Edition
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