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A Multiple Regression Analysis Produced the Following Tables For X1= 30 and X2 = 100, the Predicted Value

question 6

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A multiple regression analysis produced the following tables.  Predictor  Coefficients  Stardard Error t Statistic p-value  Irtercept 624.536978.497127.9561766.88E06x18.5691221.6522555.1863190.000301x24.7365150.6991946.7742483.06E05\begin{array} { | c | c | c | c | c | } \hline \text { Predictor } & \text { Coefficients } & \text { Stardard Error } & t \text { Statistic } & p \text {-value } \\\hline \text { Irtercept } & 624.5369 & 78.49712 & 7.956176 & 6.88 E - 06 \\\hline \boldsymbol { x } _ { 1 } & 8.569122 & 1.652255 & 5.186319 & \mathbf { 0 . 0 0 0 3 0 1 } \\\hline \mathbf { x } _ { 2 } & 4.736515 & 0.699194 & 6.774248 & \mathbf { 3 . 0 6 E - 0 5 } \\\hline\end{array}  Source df SS  MS Fp-value  Repression 21660914830457.158.319561.4E06 Residual 11156637.514239.77 Total 131817552\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} For x1= 30 and x2 = 100, the predicted value of y is ____________.


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