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THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
An economist is in the process of developing a model to predict the price of gold.She believes that the two most important variables are the price of a barrel of oil (x1)and the interest rate (x2).She proposes the model y = β0 + β1x1 + β2x2 + β3x1x3 + ε.A random sample of 20 daily observations was taken.The computer output is shown below.
THE REGRESSION EQUATION IS
y = 115.6 + 22.3x1 + 14.7x2 - 1.36x1x2
S = 20.9 R-Sq = 55.4%
ANALYSIS OF VARIANCE
-Is there sufficient evidence at the 1% significance level to conclude that the interest rate and the price of gold are linearly related?
Squared Deviations
The squared differences between individual values and the mean of a dataset, used in statistical analysis to measure variance.
Scatter Diagram
A visual depiction employing points to illustrate the connection between two numerical variables.
Cov(X,Y)
The covariance between two variables X and Y, measuring how changes in one variable are associated with changes in the other.
Sample Slope Coefficient
A parameter in a linear regression equation that represents the change in the dependent variable for a one-unit change in the independent variable.
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