Business statistic. Calculate the hypothesis

Y - 3.4379 - 0.121(X1) + 0.0326(X2) SUMMARY OUTPUT growth 1993 -cern 1990 - pre 1990 Repression Statistics Multiple R 0.349834261 Square 0.122384011 Adjusted R Square 0.105347923 Standard Error 2.16508217 Oose wariors 106 VMONY Beenion 2 67 32961719 33 66480859 7.181702039 3 00 1302772 Residual 103 482.8208225 4 587580801 Total 105 550.1594397 Coefficients Standard Error Lower 95% Lower S508 intercept 3.437917764 0.659126959 5.215855802 9.5002E-OF 2.130594899 4 745140629 2170594899 4.745140679 ten1990 2000 -0.121483991 D.032151756 -3.378465913 C1000264542 4185 19415 -0.057 728565 0 185249415 0.0571 18567 pre1990 2000 0.032622476 0.03261135 1500341165 319489749 0 01 205 445 0.097399397 -0.03 2054445 0.097 299397 5. Write down a paragraph or two to illustrate: a) why the hypothesis test is required in the above regression , analysis (either simple or multiple)