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The following questions refer to this regression equation, (standard errors in parentheses.)\text {The following questions refer to this regression equation, (standard errors in parentheses.)}

question 59

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The following questions refer to this regression equation, (standard errors in parentheses.)\text {The following questions refer to this regression equation, (standard errors in parentheses.)}
Q=8,40010P+5 A+4Px+0.05I,(1,732)(2.29)(1.36)(1.75)0.15)\mathrm { Q } = 8,400 - 10 \mathrm { P } + 5 \mathrm {~A} + 4 \mathrm { Px } + 0.05 \mathrm { I } , ( 1,732 ) ( 2.29 ) ( 1.36 ) ( 1.75 ) 0.15 )
R2=0.65 N=120 F=35.25\begin{array} { l } \mathrm { R } ^ { 2 } = 0.65 \\\mathrm {~N} = 120 \\\mathrm {~F} = 35.25\end{array}
Standard error of estimate =34.3\text {Standard error of estimate \(= 34.3\)}
Q= Quantity demanded\text {\(Q =\) Quantity demanded}
P= Price =1,000\text {\(\mathrm { P } =\) Price \(= 1,000\)}
A= Advertising expenditures, in thousands =40\text {\(\mathrm { A } =\) Advertising expenditures, in thousands \(= 40\)}
PX= price of competitor’s good =800\text {\(\mathrm { PX } =\) price of competitor's good \(= 800\)}
I= average monthly income =4,000\text {\(\mathrm { I } =\) average monthly income \(= 4,000\)}
-Calculate t-statistics for each variable and explain what this tells you.


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