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In the same sample of 300 25-35 year olds, you decide to create a obesity (obese…

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In the same sample of 300 25-35 year olds, you decide to create a obesity (obese…

Izl [95% Conf. Interval) Years Edu I 043 Woman | 14″ aria-describedby=”j5i” style=”display:none;visibility:hidden;” /> Izl [95% Conf. Interval) Years Edu I 043 Woman | 14″ aria-describedby=”j5i” />
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. 11a 012 066 068 -019 010 271 598 064 2.12 Intercept . Write out the main effects regression model equation using values for the coefficients. (0.Spt) li. Identify which predictor variable(s) is statistical obesity. Explain why. (1pt) ili. Calculate the odds ratio for each predictor variable. Provide an interpretation of each odds ratio. (1pt) Year edu 0.96 Woman 1.15
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