shows the output for a baseline-category logit model with Table 6.6 Software output on modeling happiness for Exercise 6.6.

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Estimate Std. Error z value Pr(>|z|)

(Intercept):1 -2.55518 0.72560 -3.521 0.000429

(Intercept):2 -0.35129 0.26837 -1.309 0.190554 income:1 -0.22751 0.34120 -0.667 0.504907 income:2 -0.09615 0.12202 -0.788 0.430694

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Residual deviance: 3.1909 on 2 degrees of freedom

> fitted(fit)

y1 y2 y3 1 0.03637 0.37579 0.58784 2 0.03024 0.35625 0.61352 3 0.02506 0.33665 0.63829

> deviance(vglm(cbind(y1,y2,y3) ~ 1, family=multinomial))

[1] 4.13476

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very happy as the baseline category and scores (1, 2, 3) for the income categories.
Prepare a short report, summarizing what you learn from this output.