The regression coefficient for smoking is 0.7 ± 0.1, p < .001. Does this mean that smokers have higher pulmonary function than nonsmokers? Why or why not?

Table 11.31: FEV.DOC

 

Some descriptive statistics of the variables in the data set using Minitab are given in Table 11.32.

Table 11.32: Descriptive statistics for FEV.DAT

We first ran a regression of FEV on smoking as shown in Table 11.13.

Table 11.33: Regression of FEV on smoking in FEV.DAT

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Format or Code Column Variable ID number 1-5 7-8 Age (yrs) FEV (1iters) 10-15 х.ххх 17-20 Height (inches) хх.х 22 0=female/1=male Sex 24 Smoking status 0=non-current smoker/ 1=current Smoker Results for: FEV Descriptive Statistics: Age, FEV, Hgt Variable Mean SE Mean StDev Age 654 9.931 0.116 2.954 FEV 654 2.6368 0.0339 0.8671 Hgt 654 61.144 0.223 5.704 Variable Minimum Q1 Median Q3 Age 3.000 8.000 10.000 12.000 FEV 0.7910 1.9770 2.5475 3.1205 Hgt 46.000 57.000 61.500 65.500 Variable Maximum Age 19.000 FEV 5.7930 Hgt 74.000 Tally for Discrete Variables: Sex, Smoke Sex Count Percent Smoke Count Percent 48.62 58 90.0 336 51.38 65 9.94 654 654