Here is a regression equation using GSS2006 data. The dependent variable is an index of happiness (0=not happy, up to 4=very happy), and the independent variables are four reference group variables where "married" is the reference group. All slopes are statistically significant.
HAPPYINDEX = 2.87 - .39 (NEVER MARRIED) - .51 (SEPARATED) -
.47 (DIVORCED) - .56 (WIDOWED)
Someone looks at this equation and says: "well, if a woman got separated, then got divorced, but then got remarried, and then her husband died, leaving the woman a widow, her score on the index would be 1.33." Explain how this interpreter is misinterpreting the equation, and then interpret it correctly.
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