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The linear regression equation, $Y=a+bx,$ was estimated. The following computer output was obtained:

The output of the linear regression equation $Y$ equals a plus $bx$ is given.

$\backslash$table$[[$DEPENDENT VARIABLE:,$Y,R-$SQUARE,F$-$RATIO,$P-$VALUE ON $F,],[$OBSERVATIONS:$,15,0\mathrm{.}6010,19\mathrm{.}58,0\mathrm{.}0001,],[,,\backslash$table$[[$PARAMETER$],[$ESTIMATE$]],\backslash$table$[[$STANDARD$],[$ERROR$]],$T$-$RATIO,P$-$VALUE$],[$VARIABLE$,,412\mathrm{.}18,102\mathrm{.}54,4\mathrm{.}02,0\mathrm{.}0015],[$INTERCEPT$,,0\mathrm{.}6358,0\mathrm{.}1765,3\mathrm{.}60,0\mathrm{.}0032],[x,,,,,]]$

In the regression above, the parameter estimate of $a($the intercept$)$ indicates

Multiple Choice

$\frac{Y}{}a$ is equal to $0\mathrm{.}6010$

that when $x$ is zero, $Y$ is $102\mathrm{.}54.$

that when $x$ is zero, $Y$ is $412\mathrm{.}18.$

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