Answer:
-2
Step-by-step explanation:
In a linear regression model we have the equation [tex]Y = b_{1}X + b_{0}[/tex] that relates [tex]X[/tex] and [tex]Y[/tex], where [tex]b_{1}[/tex] is the estimator of the slope and [tex]b_{0}[/tex] is the estimator of the Y-intercept. The coefficients [tex]b_{1}[/tex] and [tex]b_{0}[/tex] can be estimated with the equations:
[tex]b_{1} = \frac{S_{xy}}{{S^{2}}_{x}}[/tex]
[tex] b_{0} = MY-b_{1}MX[/tex]. Thus,
[tex]b_{0} = 6 - (4)(2) = -2[/tex]