erling Source lenouse DF Squares Square F Value Prob >Fem A.It einsbus helloing a mebute to amexe lanit Model led by 2.39555 2.39555 47.732 0.0010 TAM al belloine esc Error 0.25094 0.05019 C Total CC 2.64649 28 08 EV 80 08 81 1 maxs 080 TAM Root MSE 0.22403 R-square 0.9052 Dep Mean 2.32857 Adj R-sq 0.8862 sib let1692 8 19810 (5 C. V. 9.62073 tab Parameter Estimates Parameter Standard T for HO: Variable Estimate Error Parameter=0 Prob > |T| INTERCEP 1.191930 0.18503093 6.442 0.0013 X 0.987157 0.14288331 6.909 0.0010 shif CLI a) Give a practical interpretation of the estimate of the y-intercept of the least squares line. If none exist explain why. ow Inebute s 101 91092 msxe 080 TAM & 101be19 . lenit 800 TAM sili no 08 ne zev leos oftw thebute s mexs 060 TAM 6 1910919 Give a practical interpretation of the slope of the least squares line. If none exists NE FOR atures explain why. I LU Give a practical interpretation of R2 = .9052 Sepbud Isunna sill Isnt beeogong spellod viinummod Isool s to noisylelimbs andT SF "d) 3 Find pen to aniw ov H andi ni pninollibaco is to noitslistenl eni sbuloni 2onpsi phiwollot ent benimmaleb bus slab boloelloo vert Iseogong Tions by apply. one Be = x doidw no) Intog stab s to lsublet add animated TSOE - xeAt.0 = v .stab nevinVOW sale. = SA to noitsterquelni Isollong s vid 12. The administration of a local Community College proposed that the annual budget include the installation of air conditioning in the Hvac wing of the school. To support their proposal, they collected data and determined the following regression line for the given data, y = 0.449x - 30.27. Determine the residual of a data point for which x = 98 and y = 15. Temperature, X 72 85 | 91 90 88 98 75 100 80 Number of student absences, y 3 7 10 10 8 15 +