This publication presents a comprehensive statistical analysis of two continuous variables: Minutes and Drinks. Using R, I explored the data through descriptive statistics, histograms, and normality tests (Shapiro-Wilk). Both variables showed positive skewness and leptokurtic distributions, indicating non-normality. To assess the relationship, I conducted both Spearman and Pearson correlation tests. Results revealed a strong, positive, and statistically significant correlation (Spearman ρ = 0.92, Pearson r = 0.95, p < .001). This suggests that as time spent (Minutes) increases, the number of drinks consumed also increases. The report includes: Cleanly formatted R code and outputs Visualizations (histograms and scatterplots with regression line) Clear interpretation of results written as comments within the R script This RPubs publication demonstrates how to combine data visualization, normality testing, and correlation analysis into a reproducible workflow using R Markdown.

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PROJEK SUPERVISED LEARNING DATA 2 Nama : Dinda Dwi Anugrah Pertiwi NIM : 3338230010 Dosen Pengampu : Dr.nat.techn. Weksi Budiaji, S.Si., M.Sc

El siguiente es el documento base institucional del Programa de Asignatura – Diseño Experimental (2026-1) conforme a los formatos FOR-FO-030 y FOR-FO-018, ajustado a los lineamientos del Decreto 1330 de 2019.