The researchers used logistic regression to predict the prob…
The researchers used logistic regression to predict the probability of LBW ( 1 = LWB, 0 = normal birth weight). Table 2 presents the results of the logistic regression. Interpret the overall model statistics (e.g., Pseudo R-squared, model significance) and, if appropriate, the coefficients for each predictor variable (including odds ratios, confidence intervals, and p-values). Report your results as you would in a peer-reviewed publication, such as in the results section of a manuscript (e.g., “Logistic regression revealed that…”). Briefly discuss any limitations or assumptions (e.g., regarding data quality from birth certificates). (200-300 words) Note. OR = odds ratio; CI = confidence interval. Pseudo R² = .215. Log-Likelihood = -287.87 (LL-Null = -366.92). Income is scaled per $1,000 increment. Prenatal care adequacy is ordinal (higher values indicate better care). Reference categories: smoking = no; prenatal care coded such that higher levels reflect greater adequacy.