Dependent Variable:

X$12$ How satisfied are you with your existing DVD player?

Independent variables:

X$17$ Are you price conscious?

X$10$ Do you believe you need a DVD player?

X$11$ How likely are you to purchase a DVD player?

X$16$ Are you an early adopter or innovator?

X$15$ total annual household income before taxes

X$14$ level of electronics products ownership that best describes you

X$13$ What is your highest level of education?

$\backslash$table$[[$Regression results$],[$Model$,$R$,\backslash$table$[[$R$],[$Square$]],\backslash$table$[[$Adjusted$],[$R Square$]],\backslash$table$[[$Std$.$ Error$],[$of the$],[$Estimate$]]],[1,\mathrm{.}914,\mathrm{.}836,\mathrm{.}830,798]]$

$\backslash$table$[[$Model$,\backslash$table$[[$Sum of$],[$Squares$]],$df$,\backslash$table$[[$Mean$],[$Square$]],$F$,$Sig.$],[1,$Regression,$624\mathrm{.}554,7,89\mathrm{.}222,140\mathrm{.}047,000],[122\mathrm{.}321,192,637,,,],[$Total$,746\mathrm{.}875,199,,,,]]$

$\backslash$table$[[$Model$,\backslash$table$[[$Unstandardized$],[$Coefficients$]],\backslash$table$[[$Standardized$],[$Coefficients$],[$Beta$]],$t$,$Sig.$],[$B$,\backslash$table$[[$Error$]]],[($Constant$),-494,\mathrm{.}359,,-1\mathrm{.}375,\mathrm{.}171],[\backslash$table$[[$X$10$ Do you$],[$believe you need a$],[$DVD player?$]],\mathrm{.}062,\mathrm{.}050,\mathrm{.}049,-1\mathrm{.}235,\mathrm{.}218],[\backslash$table$[[$X$11$ How likely$],[$are you to$],[$purchase a DVD$],[$player$?]],-255,\mathrm{.}148,\mathrm{.}065,-1\mathrm{.}721,\mathrm{.}087],[\backslash$table$[[$x$13$ What is your$],[$highest level of$],[$education$?]],461,311,117,1\mathrm{.}484,\mathrm{.}140],[\backslash$table$[[$X$14$ level of$],[$electronics$],[$products$],[$ownership that$],[$best describes you$]],670,188,\mathrm{.}251,3\mathrm{.}562,\mathrm{.}000],[\backslash$table$[[$X$15$ total annual$],[$household income$],[$before taxes$]],240,\mathrm{.}063,178,3\mathrm{.}813,1\mathrm{.}000],[\backslash$table$[[$X$16$ Are you an$],[$early adopter or$],[$innovator$?]],1\mathrm{.}515,\mathrm{.}369,389,4\mathrm{.}101,1\mathrm{.}000],[\backslash$table$[[$X$17$ Are you price$],[$conscious$?]],719,\mathrm{.}140,185,5\mathrm{.}149,\mathrm{.}000]]$

Based on the above regression tables if we compare the impact of x$16$ and x$17,$ what would be your explanations?