Consider the following data for a dependent variable y and two independent variables, x1 and x2. \begin{tabular}{|l|l|l|} \hline 76 & 16 & 209 \\ \hline \end{tabular} The estimated regression equation for these data is y^=18.06+2.00x1+4.71x2 Here, SST=15,090.1,SSR=13,937.2,sb1=0.2495, and sb2=0.9577. (a) Test for a significant relationship among x1,x2, and y. Use =0.05. State the null and alternative hypotheses. H0:1>2Ha:12H0:1=2=0 Ha : One or more of the parameters is not equal to zero. H0:12Ha:12H0:1=2=0 H3 : One or more of the parameters is not equal to zero. H0:10Ha:10H0:10Ha:10H0:10H0:1=0Ha:1=0 Find the value of the test statistic. (Round your answer to two decimal places.) Find the p-value. (Round your answer to three decimal places.) p-value= State your conclusion. Do not reject H0. There is insufficient evidence to conclude that 1 is significant. Reject H0. There is insufficient evidence to conclude that 1 is significant. Reject H0. There is sufficient evidence to conclude that 1 is significant. Do not reject H0. There is sufficient evidence to conclude that 1 is significant. Is 2 significant? Use =0.05. State the null and alternative hypotheses. H0:2=0Ha:2=0H0:2>0Ha:20H0:2=0Ha:2=0H0:2=0Ha:2>0H0:2