a.
Multiple regression models with only main effects is,
ln(P/1-P) = + Years Edu + 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
In the same sample of 300 25-35 year olds, you decide to create a obesity (obese...
In the same sample of 300 25-35 year olds, you decide to create a obesity (obese versus not obese). You are interested in examining the relationship between obesity, years of education, and race. 2. dichotomous variable for Write the equation of the multiple regression model with only main effects. (0.5pt) a. b. Using the following regression table: Obese! Coef. Std. Err. z Pipl p> Izl [95% Conf. Interval) Years Edu I 043 Woman | 141 3.560.000 0.034 -266 1691.58 0....
1. You are interested in examining the relationship between BMI (continuous on (continuous variable), and gender (variable"woman" coded as O man and 1 - variable), years of woman) among a sample of 300 25-35 year olds. You first want to estimate a regression model that includes the independent associations of years of education and gender with BMI. Next, you will estimate a model in which gender moderates the association between BMI and years of education a. First, write the equation...