Prompts_Modo_Agente_ESTADISTICA_2026_2

Bitacora_Trazabilidad_DTA_para_Apps

Suavización exponencial simple y método de Holt-Winters

Clinical Factors Associated with Diabetes: A Logistic Regression Analysis This project presents a statistical analysis of the Pima Indians Diabetes Dataset, which contains clinical measurements from 768 female patients. The aim was to identify clinical variables independently associated with diabetes status. The analysis includes data inspection and cleaning, assessment of variable distributions, non-parametric univariate comparisons between diabetic and non-diabetic groups, and multivariable logistic regression. The final model identified : glucose, BMI, and age as independent predictors of diabetes, while blood pressure and insulin did not remain significant after adjustment for the other variables. Odds ratios and 95% confidence intervals were calculated and visualized to facilitate interpretation. The project was conducted in "R using base R and ggplot2", with an emphasis on reproducible statistical analysis and interpretation of clinical data.

Prompts_Modo_Agente_Disenio_2026_2

Prompts_Desarrollo_de_App_de_DISENIO_2026_2

Prompts_Desarrollo_de_App_de_Estadística_2026_2

Mata Kuliah Regresi Nonparametrik Model Regresi, Asumsi Regresi

국내 4년제 대학 공시 데이터로 신입생 경쟁률을 예측

온도, 체감온도, 습도, 풍속 4개 변수로 자전거 대여량 예측하는 회귀 문제