Question 19 (1 point) You have run a multiple regression and have selected the variables that you believed would predict your outcome variable. Upon entering this into PSPP, the following tables are produced. What should your next step be? REGRESSION /VARIABLES= Age Manual_Dexterity Blue_Light /DEPENDENT= Final_Score /METHOD=ENTER /STATISTICS=COEFF R ANOVA. Model Summary (Final_Score) R R Square Adjusted R Square Std. Error of the Estimate 98 .96 .96 .71 ANOVA (Final_Score) Sum of Squares df Mean Square F Sig. Regression 331.70 3 110.57 219.13 .0001 Residual 12.11 24 .50 Total 343.81 27Coefficients Coefficients B Std. Error Beta (Constant) 52.90 5.69 00 9.30 .0001 Age .27 05 56 5.68 .0001 Manual_Dexterity .23 .12 14 1.94 .064 Blue_Light -.40 .09 -.34 -4.59 0001 The analysis is complete and shows a very strong and significant relationship between our predictor variables and the outcome variable. The analysis is not complete. It appears that one or more variables should be dropped from this analysis and the regression should be rerun. It is impossible to draw any conclusions from the data presented here. The analysis is complete and shows a very weak and insignificant relationship between our predictor variables and the outcome variable.Coefficients (Final_Score) Unstandardized Standardized t Sig. Coefficients Coefficients B Std. Error Beta (Constant) 52.90 5.69 00 9.30 0001 Age 27 05 .56 5.68 .0001 Manual_Dexterity .23 12 14 1.94 064 Blue_Light -.40 09 -.34 -4.59 0001 The analysis is complete and shows a very strong and significant relationship between our predictor variables and the outcome variable. The analysis is not complete. It appears that one or more variables should be dropped from this analysis and the regression should be rerun. It is impossible to draw any conclusions from the data presented here