Using the data from Problem 2 in Chapter 5 and/or the SAS output given here, answer the following questions about the separate straight-line regressions of SBP on QUET for smokers (SMK = 1) and nonsmokers (SMK = 0).
a. Determine the least-squares line of SBP (Y) on QUET (X) separately for smokers and nonsmokers.
b. Test H0: €œThe slopes are the same for the populations of smokers and nonsmokers being sampled€ versus HA: €œNonsmokers have a more positive slope.€
c. Test H0: €œThe intercepts are the same for the populations of smokers and nonsmokers being sampled€ versus HA: €œThe intercepts are dif1rent.€
d. Test H0: €œThe straight lines coincide for the populations of smokers and nonsmokers being sampled€ versus HA: €œThe straight lines do not coincide.€
Regression of SBP on QUET: Nonsmokers

Regression of SBP on QUET: Smokers

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DESCRIPTIVE STATISTICS Standard Deviation Variable QUET SBP Sum Moan Uncorrected SS Variance 52 17400 3.47827 183.93641 0.17581 041930 12.90183 2112.00000140.80000 299700 166:45714 ANALYSIS OF VARIANCE Sum of Squares 1702.83866 Mean Square Source Model Error Corrected Total DF F Value Pr> F 1702.83966 35.27 0001 13 627.56034 48.27387 14 2330.40000 6.94794 140.80000 4.93462 0.7307 Root MSE Dependent Mean Coeff Var R-Square Adj R-Sq 0.7100 PARAMETER ESTIMATES Parameter Standard t Value | Pr > Variable Intercept QUET DF Estimate Error 3.18 0.0072 5 94 <0001 49-31176 15.50814 26.30283 4.42865 DESCRIPTIVE STATISTICS Uncorrected SS Variance Standard Deviation Variable QUET SBP Sum Mean 3.40829 2513.00000147 82353 57.94100 202.63931 0.32246 0 56785 15.21198 375183 231.40441 ANALYSIS OF VARIANCE Sum of DFI Squares Mean Square Source Model Error Corrected Total F Value Pr> F 19.40 0.0005 2088.16977 15 1614.30082 16 3702 47059 2088.16977 107.62005 Root MSE Dependent Mean Coeff Var 10.37401 147,82353 7.01783 R-Square 0.5640 Adj R-Sq 0.5349 PARAMETER ESTIMATES Parameter Standard Variable Intercept QUET Error t Value Pr 15.76837 4.56719 4.40 00005 DFI Estimate 79.25533 5.03 0.0002 20.11804