5. The following is part of ANOVA table for a simple linear regression model where i's are i.i.d. from N(0,?2), i complete the table.) 1, , n, and n is the number of observations. (No need t Source Model Sum of Squares kxs*x Mean Square 252378 F Value Pr > F 105.88 DF <.0001 brroi correctedtotal compute the coefficient of determination r2 assume that we now know least square estimate a is bi-3.57. construct two-sided t-tes whether or not bi state null and alternative hypotheses value test statistic sampling distribution under hypothesis decision rule. following part anova table for simple linear regression model where i are i.i.d. from n complete table. number observations. need t source sum squares kxs mean f pr> F 105.88 DF <.0001 brroi correctedtotal compute the coefficient of determination r2 assume that we now know least square estimate a is bi-3.57. construct two-sided t-tes whether or not bi state null and alternative hypotheses value test statistic sampling distribution under hypothesis decision rule>