For problems 24-26: An experiment was conducted to discern environmental factors affecting health standards. A random sample of 21 small regions had information on the following variables: VALUE: Value of all residential housing, in millions of dollars; this is a proxy for economic conditions, DOCT: the number of doctors, NURSE: the number of nurses, VN: the number of vocational nurses, and DEATHS: number of deaths due to health-related causes (eg not accidents); this is a proxy for health standards. The following JMP output contains information for the model that includes VALUE, DOCT, NURSE, and VN. There is also information for the model that includes VALUE only. Summary of Fit Summary of Fit RSquare 0.983726 RSquare Adj 0.979657 RSquare 0.97336 Root Mean Square Error 651.0425 RSquare Adj 0.971958 Mean of Response 4020.714 Root Mean Square Error 764.3716 Observations (or Sum Wgts) 21 Mean of Response 4020.714 Analysis of Variance Observations (or Sum Wgts) 21 Sum of Analysis of Variance Source DF Squares Mean Square F Ratio Model 4 409928367 102482092 241.7850 Sum of Error 16 6781702 423856 35 Prob > F Source DF Squares Mean Square F Ratio C. Total 20 416710068 <.0001 model parameter estimates error prob> F Term Estimate Std Error t Ratio Probelt| VIF C. Total 20 416710068 <.0001 intercept parameter estimates value doct term estimate std error t ratio prob>|t] nurse -0.880127 0.907108 -0.97 0.3464 77.553626 Intercept 1156.2399 199.1014 5.81 <.0001 vn value determine whether the slr using to describe average deaths is sufficient or if some combination of doct nurse and should be added model. write full reduced models then perform test. show your work state conclusion. model:>