Statistics help - JMP

6 c. Construct a Multiple Linear Regression Equation for the best run you picked in part b. Project 3 Common Wiebes 5.2018019-Leste - MP - The Ed Tablet Raw Coll DOE A Graph Tool Add-In View Window ? UP + - Response Jan. mean temp. F Effect Summary Source Lagworth PV 2715 09 total 0.00 124 00564 tones 1212 0 DO Populsion in billions 0.154 66454 Deforestation in bonectar 0.080 081598 Colleves that 0.851 016 Bem E FOR Summary of Fit RS 03690 Sound 0.260056 Root Meas Sonor 533565 Men of Response 135 Cortions or Sun Wul Analysis of Variance Source DF Sons Mean Squre Ratio Model 7851.2254 121.604 41194 Eror 501456.1916 29.134 Prob>F Total 57 230743 Parameter Estimates Term Estimate Std or tatlo Pro Were 60929551 3118958 1.950.0964 -312950 16.626 -1.95 0.091 CO2 love that you -0.17 0.89 45439005 2.1271% totunni -2.334505 0.163256 -32% DDD met 1.31 0.0514 Deforestion in interes 36.141551 1541418 02308156 Population in billion 8.16 15.15430 041 D. Effect Tests Effect Details Project 3 Common Variables Ape 5 2015/16 FitLea.. File Edit Tables Rows Cols DOE Analyze Graph Tools Add-ins View Window Help pat: - Response Jan. mean temp.F Effect Summary Source LogWorth PValue tot snow in 3.338 0.00046 total rain in 0.01454 mtonnes meat 1.376 0.04207 year 1.309 0.04250 Remet Add Ed FDR Summary of Fit Square 0.360613 RSquare Ad 0.312572 Root Mean Square Error 5275205 Mean of Response 13.5 Observations (or Sum Wit) 58 Analysis of Variance Surn of Source DF Squares Mean Square F Ratio Model 4 832.5471 208.13774705 Error 53 14748729 27.808 Prob>F Total 57 23074200 <.0001 parameter estimates term estimate std error ratio prob intercept total rain in tot show mtonnes mest effect tests details a. which variable above should be tested by elimination due to not being significant b. run is better the one or on left explain your decision. c. construct a multiple linear regression equation for best you picked part project common wiebes mp ed tablet raw coll doe graph tool add-in view window up response jan. mean temp. f summary source lagworth pv tones do populsion billions deforestation bonectar colleves that bem e of fit rs sound root meas sonor men cortions sun wul analysis variance df sons squre model eror>F Total 57 230743 Parameter Estimates Term Estimate Std or tatlo Pro Were 60929551 3118958 1.950.0964 -312950 16.626 -1.95 0.091 CO2 love that you -0.17 0.89 45439005 2.1271% totunni -2.334505 0.163256 -32% DDD met 1.31 0.0514 Deforestion in interes 36.141551 1541418 02308156 Population in billion 8.16 15.15430 041 D. Effect Tests Effect Details Project 3 Common Variables Ape 5 2015/16 FitLea.. File Edit Tables Rows Cols DOE Analyze Graph Tools Add-ins View Window Help pat: - Response Jan. mean temp.F Effect Summary Source LogWorth PValue tot snow in 3.338 0.00046 total rain in 0.01454 mtonnes meat 1.376 0.04207 year 1.309 0.04250 Remet Add Ed FDR Summary of Fit Square 0.360613 RSquare Ad 0.312572 Root Mean Square Error 5275205 Mean of Response 13.5 Observations (or Sum Wit) 58 Analysis of Variance Surn of Source DF Squares Mean Square F Ratio Model 4 832.5471 208.13774705 Error 53 14748729 27.808 Prob>F Total 57 23074200 <.0001 parameter estimates term estimate std error ratio prob intercept total rain in tot show mtonnes mest effect tests details a. which variable above should be tested by elimination due to not being significant b. run is better the one or on left explain your decision>