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Page 283 The coefficients at the top of the page
get file 'c:\cama4\depress.sav'.
logistic regression cases /method = enter age income.
<some output omitted>
Page 283 Figure 12.1 Logistic function for the depression data set
NOTE: We were unable to reproduce this graph.
Page 285 Table 12.1 Classification of individuals by depression level and sex
crosstabs /tables = sex by cases.
Page 286 Odds ratios and coefficients
compute sex1 = sex - 1. logistic regression cases with sex1.
<some output omitted>
Page 287 Table of coefficients and standard errors
logistic regression cases /method = enter age income.
<some output omitted>
Page 288 These numbers are obtained from the output from page 287.
Page 290 Table at the top of the page
compute duminc = 1. if income >=10 duminc = 0. compute dumemp = 0. if employ = 2 dumemp = 1. if employ = 3 dumemp = 1. if employ = 7 dumemp = $sysmis. exe.
logistic cases with duminc dumemp.
<some output omitted>
Page 291 Table in the middle of the page
compute dincemp = duminc*dumemp. logistic cases with duminc dumemp dincemp.
<some output omitted>
Page 292 bottom of the page
NOTE: The likelihood ratio chi-square values needed are given in the output for the two models shown above: 16.83-8.6 = 8.23.
Page 298 middle of the page
compute age0 = 0. if age < 28 age0 = 1. compute age1 = 0. if age >=28 and age <= 42 age1 = 1. compute age2 = 0. if age >=43 and age <= 58 age2 = 1. compute age3 = 0. if age >=59 and age <= 89 age3 = 1. exe.
logistic cases with age1 age2 age3 income sex.
<some output omitted>
Page 299 Figure 12.2 Estimated coefficients for age quartiles by midpoint of the quartile
data list list /coef newage. begin data. 0 22.5 .0747259 35 -.5706276 50.5 -.8853103 74 end data.
igraph /x1 = var(newage) type=scale(min=20 max = 80) /y = var(coef) type = scale(min=-1 max=0.5) /line(mean) key=off style=dotline.
Page 302 Figure 12.3 Delta beta measures to assess the influence of individual patterns on estimated coefficients
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Page 303 Table 12.2 Percent change in estimated parameters when including and excluding influential patterns
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Page 304 Table 12.3 Estimated probability of being a case (p-hat) for five influential observations
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Page 305 Figure 12.4 Delta chi-square measure to assess influence of pattern on overall fit with symbol size proportional to delta beta
NOTE: We have skipped this graph for now.
Page 307 Figure 12.5 Percentage of individuals correctly classified by logistic regression
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Page 307 Figure 12.6 ROC curve from logistic regression for the depression data set
NOTE: We have skipped this graph for now.
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