Question 3 A researcher wanted to study the relationship of blood pressure (BP) with four other variables: Age, Weight, Body Surface Area (BSA) and Pulse. He recruited 110 adults and recorded their BP, Age, Weight, BSA and Pulse values. No. BP Age Weight BSA Pulse 137 41 86 2.88 68 125 33 78 2.63 66 .. W N 139 40 85 2.93 65 110 134 39 79 2.67 74 The objectives: To test the relationship between BP, Age, Weight, BSA and Pulse SPSS Output: Model Summary Change Statistics Adjusted R Std. Error of R Square Sig. F Durbin- Model R R Square Square the Estimate Change F Change of1 df2 Change Watson .819" .671 .659 3.400 .671 53.563 4 105 .000 2.073 a, Predictors: (Constant), Pulse, BSA, Age, Weight b. Dependent Variable: BF ANOVAL Sum of Model Squares Mean Square Sig. Regression 2477.352 619.338 53.563 .000 Residual 1214.103 105 11.563 Total 3691.455 105 a. Predictors: (Constant), Pulse, BSA, Age, Weight b. Dependent Variable: B Coefficients' Unstandardize Standardized 95.0% Confidence Coefficients Coefficients Interval for B Correlations Collinearity Statistics Lower Upper Zero- Model B Sid. Error Beta Sig. Bound Bound order Partial Part Tolerance VIF (Constant) 47.624 .575 4.974 .000 28.639 66.609 Age 342 .134 .243 2.560 .012 077 607 .733 .242 .143 .348 2.877 Weight .985 .237 660 4.166 .000 516 1.455 806 377 233 125 8.005 BSA -2.531 6.416 -.054 -395 .694 -15.253 10.19 .726 -.038 -.022 .166 6.029 Pulse -019 .058 -.018 -.327 .745 -.133 .096 -.024 -.032 -.018 .984 1.016 a. Dependent Variable: BF Interpret the findings 1 . 7 Value (5 marks) 11 . p - Value (ANOVA Table) (5 marks) iii. Regression equation, Coefficients, Confidence Intervals and p-Values (15 marks)