Question

In the same sample of 300 25-35 year olds, you decide to create a obesity (obese versus not obese). You are interested in exa
b. Using the following regression table: Obese! Coef. Std. Err. z Pipl p> Izl [95% Conf. Interval) Years Edu I 043 Woman | 14
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Answer #1

a.

Multiple regression models with only main effects is,

ln(P/1-P) = \beta_0 + 61 Years Edu + \beta_2 race

where P is the probability of being obese.

b.

i.

With the given coefficients, the models with only main effects is,

ln(P/1-P) = -0.266 - 0.043 Years Edu + 0.141 Woman

ii.

P-value (P > |z|) for Years Edu is less than 0.05 significance level. Thus, Years Edu is statistically significant with obesity.

P-value (P > |z|) for Women is greater than 0.05 significance level. Thus, Women is not statistically significant with obesity.

iii.

For, Years Edu = 0.96, Women = 1.15

ln(P/1-P) = -0.266 - 0.043 * 0.96 + 0.141 * 1.15 = -0.14513

odds = P/(1-P) = exp(-0.14513) = 0.8649

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