Here is a logistic regression equation that includes an interaction effect. EDUC is measured in years, RACE is coded White=0, Blacks=1. The dependent variable is SPANKING: where 0=disagrees with spanking children, 1=in favor of spanking children (all slopes statistically significant):
SPANKING = 2.44 - 1.27(RACE) - .11(EDUC) + .16(RACE)(EDUC)
By calculating four examples (two white people: one with 10 years of education, one with 20 years of education; two black people: one with 10 years of education, one with 20 years of education), tell the story behind this model.

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The Answer of Here is a logistic regression equation that includes an interaction effect. EDUC is measured in years, RACE is coded White=0, Blacks=1. The dependent variable is SPANKING: where 0=disagrees with spanking children, 1=in favor of spanking children (all slopes statistically significant):
SPANKING = 2.44 - 1.27(RACE) - .11(EDUC) + .16(RACE)(EDUC)
By calculating four examples (two white people: one with 10 years of education, one with 20 years of education; two black people: one with 10 years of education, one with 20 years of education), tell the story behind this model.

Here Is a Logistic Regression Equation That Includes an Interaction