A Multiple Regression Analysis Produced the Following Tables If X₁= 25 and X₂ = 85, Then the Predicted

question 89

Multiple Choice

A multiple regression analysis produced the following tables. $$\begin{array} { | c | c | c | c | c | } \hline \text { Predictor } & \text { Coefficients } & \text { Stardard Error } & t \text { Statistic } & p \text {-value } \\\hline \text { Irtercept } & 512.2359 & 78.49712 & 7.956176 & 6.88 \mathrm { E } - 06 \\\hline \boldsymbol { x } _ { 1 } & 7.1525 & 1.652255 & 5.186319 & \mathbf { 0 . 0 0 0 3 0 1 } \\\hline \mathbf { x } _ { 2 } & \mathbf { 2 . 0 2 0 8 } & 0.699194 & 6.774248 & \mathbf { 3 . 0 6 E - 0 5 } \\\hline\end{array}$$ $$\begin{array} { | c | c | c | c | c | c | } \hline \text { Source } & \mathrm { df } & \text { SS } & \text { MS } & F & p \text {-value } \\\hline \text { Repression } & 2 & 1660914 & \mathbf { 8 3 0 4 5 7 . 1 } & 58.31956 & 1.4 \mathrm { E } - 06 \\\hline \text { Residual } & 11 & 156637.5 & 14239.77 & & \\\hline \text { Total } & 13 & 1817552 & & & \\\hline\end{array}$$ If x₁= 25 and x₂ = 85, then the predicted value of y is ____________.

• A)803.891
• B)807.255
• C)812.025
• D)825.517
• E)862.816

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