SAS OUTPUT 1 Dependent Variable: HDL1 year 1 HDL cholesterol (mg/dl) The GLM Procedure Least Squares Means Source DF Sum of Squares Mean Square F Value Pr > F Adjustment for Multiple Comparisons: Tukey-Kramer Model A D E G <.0001 physact1 hdl1 lsmean number error b f h corrected total c r-square coeff var root mse mean least squares means for effect pr> It) for HO: LSMean(i)=LSMean(j) Standard Dependent Variable: HDL1 Parameter Estimate Error t Value Pr > |t) i/j 2 3 Intercept 49.74806801 B 0.54289412 91.63 <.0001 physact1 b bsas output dependent variable: hdl1 year hdl cholesterol source df sum of squares mean square f value pr> F Standard Parameter Estimate Error t Value Pr > It Model 5 5568.5601 1113.7120 5.84 <.0001 intercept b error physact1 corrected total r-square coeff var root mse hdl1 mean smoking source df type i ss square f value pr> F physact1" SMOKING 3 1 0. 14499250 B 1.96398691 0.07 0.9412 physact1 2 4891.807273 2445.903636 12 83 <.0001 physact1 smoking b source df type iii ss mean square f value pr> F physact1" SMOKING 1 1 0.00000000 B physact1 2 2340.410047 1170.205024 6. 14 0.0022 physact1" SMOKING 1 0 0.00000000 B SMOKING 1 409.443473 409.443473 2.15 0.1429 physact1* SMOKING 2 246.430781 123.215391 0.65 0.5241SAS OUTPUT 3 Dependent Variable: HDL1 year 1 HDL cholesterol (mg/al) Source DF Sum of Squares Mean Square F Value Pr > F Standard Parameter Estimate Error t Value Pr > It) Model 3 5322.1293 1774.0431 9.31 <.0001 intercept b error physact1 corrected total r-square coeff var root mse hdl1 mean smoking source df type i ss square f value pr> F physact1 2 4891.807273 2445.903636 12.83 <.0001 smoking source df type iii ss mean square f value pr> F physact1 2 4593.901909 2296.950955 12.05 <.0001 smoking output dependent variable: hdl1 year hdl cholesterol source df sum of squares mean square f value pr> F Model 1449.4757 1449.4757 7.55 0.0060 Error 2606 500197 3828 191.9407 Corrected Total 2607 501646.8585 R-Square Coeff Var Root MSE HDL1 Mean 0.002889 26.75507 13.85427 51.78183 Source DF Type I SS Mean Square F Value Pr > F EXERCISE 1 1449.475715 1449.475715 7.55 0.0060 Source DF Type III SS Mean Square F Value Pr > F EXERCISE 1449.475715 1449.475715 7.55 0.0060 Standard Parameter Estimate Error t Value Pr > It Intercept 51.18193304 B 0.34821145 146.99 <.0001 exercise b bsas output dependent variable: hdl1 year hdl cholesterol source df sum of squares mean square f value pr> F Standard Parameter Estimate Error t Value Pr > It Model 3 11294.1546 3764.7182 19.97 <.0001 intercept b error physact1 corrected total r-square coeff var root mse hdl1 mean tchol source df type i ss square f value pr> F physact1 2 4944.135015 2472.067508 13.11 <.0001 tchol source df type iii ss mean square f value pr> F physact1 2 4958.476311 2479.238155 13.15 <.0001 tchol output dependent variable: hdl1 year hdl cholesterol source df sum of squares mean square f value pr> F Model 2 26174.1839 13087.0920 71.61 <.0001 error corrected total r-square coeff var root mse hdl1 mean source df type i ss square f value pr> F TCHOL 1 6397.06287 6397.06287 35.00 <.0001 bmi source df type iii ss mean square f value pr> F TCHOL 7483.37059 7483.37059 40.95 <.0001 bmi standard parameter estimate error t value pr> It Intercept 56.75287223 1.99637419 28.43 <.0001 tchol bmi questions examine the computer output of five different models provided for you in separate packet labeled sas match with most appropriate analysis. may select each letter more than once or not at all. point a. independent samples t-test b. two-way anova without an interaction c. d. ancova e. multiple linear regression f. one-way>