Byers_eab_703_psc10

EAB 703 Problem Set c10 Madison Byers NOTE: Assume we are testing at α = 0.05 for all statistical tests The data for this problem were collected on a simple random sample of 20 patients with hypertension. [ DATA: eab_703_psc10 ] This is the same study as for the Chapter 9 problem set, but with more variables.

Now, include all of the variables in a multiple regression equation to predict blood pressure. What is the final mathematical representation of the model including all variables? Regression Statistics Multiple R 0.998073271 R Square 0.996150254 Adjusted R Square 0.996150254 Standard Error 0.407228696 Observations 20 ANOVA df SS MS F Significance F Regression 6 557.8441423 99.97402 560.641 6.39523E-15 Residual 13 2.155857737 0.165835 Total 19 560 Coefficients Standard Error t-stat P-value Intercept -12.87047602 2.556649879 -5.03412 0.000229 X1 0.703259394 0.049605805 14.17696 2.76E-09 X2 0.969919778 0.063108457 15.36909 1.02E-09 X3 3.776491003 1.580150865 2.389956 0.032694 X4 0.06838304 0.04844149 1.411663 0.181534 X5 -0.084484687 0.05160898 -1.63702 0.125594 X6 0.0055715 0.0034123 1.63277 0.126491 The regression model is: y= -12.87 + 0.703 x1 + 0.970 x2 + 3.777 X3 + 0.068 x4 - 0.085 x5 + 0.006 x6