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Multiple Regression Analysis Was Used to Study the Relationship Between

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Multiple regression analysis was used to study the relationship between a dependent variable, Y, and three independent variables X1, X2 and, X3. The following is a partial result of the regression analysis involving 20 observations.
F
 Coefficient  Standard Error  Intercept 20.005.00X115.003.00X28.005.00X318.0010.00\begin{array}{lcc} & \text { Coefficient } & \text { Standard Error } \\\text { Intercept } & 20.00 & 5.00 \\\mathrm{X}_{1} & 15.00 & 3.00 \\\mathrm{X}_{2} & 8.00 & 5.00 \\\mathrm{X}_{3} & -18.00 & 10.00\end{array}
 Analysis of Variance \text { Analysis of Variance }
 Source  DF  SS  MS  Regression 80 Error 320\begin{array}{lllc}\text { Source } & \text { DF } & \text { SS } & \text { MS } \\\text { Regression } & & & 80\\\text { Error }&&320\end{array}  Coefficient  Standard Error  Intercept 20.005.00X115.003.00X28.005.00X318.0010.00\begin{array}{lcc} & \text { Coefficient } & \text { Standard Error } \\\text { Intercept } & 20.00 & 5.00 \\\mathrm{X}_{1} & 15.00 & 3.00 \\\mathrm{X}_{2} & 8.00 & 5.00 \\\mathrm{X}_{3} & -18.00 & 10.00\end{array}
 Analysis of Variance \text { Analysis of Variance }
 Source  DF  SS  MS  Regression 80 Error 320\begin{array}{lllc}\text { Source } & \text { DF } & \text { SS } & \text { MS } \\\text { Regression } & & & 80\\\text { Error }&&320\end{array}
a. Compute the coefficient of determination.
b. Perform a t test and determine whether or not β₁ is significantly different from zero α = 0.05).
c. Perform a t test and determine whether or not β2 is significantly different from zero α = 0.05).
d. Perform a t test and determine whether or not β3 is significantly different from zero α = 0.05).
e. At α = 0.05, perform an F test and determine whether or not the regression model is significant.

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a. 0.42857
b. t = 5; p-value < .01; reje...

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