This table summarizes logistic regression results from a study of how family tra
ID: 2930454 • Letter: T
Question
This table summarizes logistic regression results from a study of how family transitions relate to first home purchase by young married households. The response variable is whether the subject owns a home (1 = yes, 0 = no). Interpret the effects that seem to be significant. My question for this part is, how do you know what variables are significant without a p-value? I know how to interpret them once I know that.
AND Fill in the blanks:
Adusting for other variables, each additional child had the effect of multiplying the estimated odds of owning a home by ____, that is, the estimated odds increase by ____.
A $10,000 increase in earnings had the effect of multiplying the estimated odds of owning a home by _____ if the earnings add to the husbands income, and by ______ for wife's income.
VARIABLE ESTIMATE STD ERROR
Intercept -2.870 n/a
Husband’s earnings ($10,000) 0.569 0.088
Wife’s earnings ($10,000) 0.306 0.140
Number of years married -0.039 0.042
Married in 2 years (1 = yes) 0.224 0.304
Working wife in 2 years (1 = yes) 0.373 0.283
Number of Children 0.220 0.101
Add child in 2 years (1 = yes) 0.271 0.140
Head’s education (no. years) -0.027 0.032
Parent’s home ownership (1 = yes) 0.387 0.176
Explanation / Answer
In logistic regression, we can test the significance of the coefficients using the wald test. The formula for wald test is as given below: -
Wald=b/seb
Adusting for other variables, each additional child had the effect of multiplying the estimated odds of owning a home by _1.31_, that is, the estimated odds increase by __31__.
A $10,000 increase in earnings had the effect of multiplying the estimated odds of owning a home by _1.766_ if the earnings add to the husbands income, and by __1.35798__ for wife's income.
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