Page 83 Figure 6.1 Scatter diagram and regression line of FEV1 versus height for fathers in lung function data.

NOTE: Throughout this chapter and the next, the variables

FFEV1andMFEV1have been divided by 100 before use in analyses. We have named these modified variablesFFEV1aandMFEV1a, respectively.

get file 'c:pma5lung.sav'. compute ffev1a = ffev1/100. execute. graph /scatterplot(bivar) fheight with ffev1a.

NOTE: To modify the labeling of the axes, double click on the graph to open the Chart Editor and then double click on the axis. To add the regression line, select Chart, Options and check on Total under Fit Line.

Page 84 The descriptive statistics at the top of the page

descriptives variables = fheight ffev1a /statistics = mean stddev.

Page 94 The correlation in the middle of the page

correlations /variables = fheight ffev1a.

Page 96 Table 6.2 ANOVA example from Figure 6.1

NOTE: We need to save the residuals for use in the next figure.

regression /dependent ffev1a /method = enter fheight /save resid (resid).

<some output omitted>

Page 109 Figure 6.10 This has been skipped for now.

Page 113 Figure 6.12 Normal probability plot of the residuals of the regression of FEV1 on height for fathers in the lung function data.

pplot /variables = resid /type = q-q.