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STRNA
COMPARACION R2
Lista2_Paula
Regressão Multivariada, Metodologia
de Surveys, Estudos Longitudinais e Indicadores & Medidas Sintéticas,
Chapter 13: Change and Growth
Figures and Program Code to Accompany Chapter 13 of "Understanding Structural Equation Modeling" by Phil Wood
Prueba R
Primera prueba
clase 1
mi primer ensayo
HTML 12
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Analyzing the dining procurement of US colleges
SURF project by Radiah Khan, supervised by Prof. Kementari Whitcher, supported by Smith College Statistical & Data Sciences Department.
Fuel Efficiency Analysis and Prediction Using the mtcars Dataset in R
This project presents a comprehensive analysis of the built-in mtcars dataset in R, focusing on fuel efficiency (miles per gallon, or MPG). The workflow includes descriptive statistics, exploratory visualizations, and the application of machine learning models—specifically linear regression and random forest—to predict MPG based on vehicle attributes such as weight, horsepower, transmission type, and engine specifications. The report demonstrates that random forest outperforms linear regression in predictive accuracy and highlights key variables that influence fuel consumption.
