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An Economist Is in the Process of Developing a Model (x1)\left( x _ { 1 } \right)

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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)\left( x _ { 1 } \right) and the interest rate (x2)\left( x _ { 2 } \right) She proposes the first-order model with interaction: y=β0+β1x1+β2x2+β3x1x3+εy = \beta _ { 0 } + \beta _ { 1 } x _ { 1 } + \beta _ { 2 } x _ { 2 } + \beta _ { 3 } x _ { 1 } x _ { 3 } + \varepsilon .
A random sample of 20 daily observations was taken. The computer output is shown below.
THE REGRESSION EQUATION IS y=115.6+22.3x1+14.7x21.36x1x2y = 115.6 + 22.3 x _ { 1 } + 14.7 x _ { 2 } - 1.36 x _ { 1 } x _ { 2 } \text {. }
 Predictor  Coef  SDev T Constant 115.678.11.480x122.37.13.141x214.76.32.333x1x21.360.522.615\begin{array}{|c|rrc|}\hline \text { Predictor } & \text { Coef } & \text { SDev } & T \\\hline \text { Constant } & 115.6 & 78.1 & 1.480 \\x_{1} & 22.3 & 7.1 & 3.141 \\x_{2} & 14.7 & 6.3 & 2.333 \\x_{1} x_{2} & -1.36 & 0.52 & -2.615 \\\hline\end{array}
S=20.9RSq=55.4%\mathrm { S } = 20.9 \quad \mathrm { R } - \mathrm { Sq } = 55.4 \%
ANALYSIS OF VARIANCE
 Source of Variation df SS MSF Regression 386612887.06.626 Error 166971435.7 Total 1915632\begin{array}{|l|rrrr|}\hline \text { Source of Variation } & d f & \text { SS } & M S & F \\\hline \text { Regression } & 3 & 8661 & 2887.0 & 6.626 \\\text { Error } & 16 & 6971 & 435.7 & \\\hline \text { Total } & 19 & 15632 & & \\\hline\end{array} Is there sufficient evidence at the 1% significance level to conclude that the interest rate and the price of gold are linearly related?

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