The REG Procedure Model: MODEL1 Dependent Variable: libexp Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 2 1 . 754706E14 8. 773532E13 88 . 06 <. error corrected total root mse r-square dependent mean adj r-sq . coeff var parameter estimates standard variable df estimate t value pr> Itl Intercept -215174 180885 -1. 19 0 . 2381 residents HHH 22. 714 1. 95415 11 . 62 <. city library . sample regression equation shown is f="30" blx1 where represents expenditures dollars by los angeles county in x total number of residents and x2="1" if the city-run part system. dene population as all american cities. l points explain what wrong with sentence below interpreting output. increase size will residents. be b1x1 bzxz corresponding can expressed e tell me why we don know for sure that equals discuss general relationship between bl a. identify interpret r2 model. holding other variable constant use model to predict change a sampled increased how you arrived at your answer. u yuan predicted difference county-run libraries perform following hypothesis test using level significance. fully express conclusion implies. h0: h1:>0 (10 points) 7. Perform the following hypothesis test, using a 5% level of signicance. Be sure to fully express what your test conclusion implies. H0: 2=0 H: 20