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Dependent Variable: X 1 2 How satisfied are you with your existing DVD player? Independent variables: X 1 7 Are you price conscious? X 1

Dependent Variable:
X12 How satisfied are you with your existing DVD player?
Independent variables:
X17 Are you price conscious?
X10 Do you believe you need a DVD player?
X11 How likely are you to purchase a DVD player?
X16 Are you an early adopter or innovator?
X15 total annual household income before taxes
X14 level of electronics products ownership that best describes you
X13 What is your highest level of education?\table[[Regression results],[Model,R,\table[[R],[Square]],\table[[Adjusted],[R Square]],\table[[Std. Error],[of the],[Estimate]]],[1,.914,.836,.830,798]]
\table[[Model,\table[[Sum of],[Squares]],df,\table[[Mean],[Square]],F,Sig.],[1,Regression,624.554,7,89.222,140.047,000],[122.321,192,637,,,],[Total,746.875,199,,,,]]
\table[[Model,\table[[Unstandardized],[Coefficients]],\table[[Standardized],[Coefficients],[Beta]],t,Sig.],[B,\table[[Error]]],[(Constant),-494,.359,,-1.375,.171],[\table[[X10 Do you],[believe you need a],[DVD player?]],.062,.050,.049,-1.235,.218],[\table[[X11 How likely],[are you to],[purchase a DVD],[player?]],-255,.148,.065,-1.721,.087],[\table[[x13 What is your],[highest level of],[education?]],461,311,117,1.484,.140],[\table[[X14 level of],[electronics],[products],[ownership that],[best describes you]],670,188,.251,3.562,.000],[\table[[X15 total annual],[household income],[before taxes]],240,.063,178,3.813,1.000],[\table[[X16 Are you an],[early adopter or],[innovator?]],1.515,.369,389,4.101,1.000],[\table[[X17 Are you price],[conscious?]],719,.140,185,5.149,.000]]
Based on the above regression table answer the following questions:
a) How good is this model overall? How did you know?
b) Interpret the coefficients of variables that you consider has significant impact on Dependent variable. Why?
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