I can help you conduct Multiple Linear Regression and Reporting using R
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Project Details
Why Hire Me?
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With 7+ years of experience in statistical modeling, I specialize in applying R for multiple linear regression and generating high-quality, interpretable reports.
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Proficient with
lm(),car,ggplot2, andR Markdownfor model building, diagnostics, and reporting -
Experienced in checking assumptions like multicollinearity, linearity, and homoscedasticity
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Capable of modeling interaction effects and dummy variables correctly
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Deliver clear regression summaries with plots (residual, influence, fit diagnostics)
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Ideal for academic research, econometric models, and practical decision support
What I Need to Start Your Work
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Project Details
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Objectives and hypotheses of the regression task
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Brief description of how regression fits into your broader project
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Data and Data Description
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Dataset in
.csv,.xlsx, or R-native formats (.RData,.rds) -
Explanation of variable types (continuous, categorical, etc.) and any prior transformations
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Exact Requirements
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Definition of outcome (dependent) and predictor variables
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Any specific requirements like variable interactions, model comparison, or constraint handling
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Reporting Expectations
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Final output format (PDF via R Markdown, Word report, or script + annotated output)
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Graphs or visuals expected (coefficient plots, residuals, VIF analysis, etc.)
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Academic or professional formatting guidelines if applicable
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Communication Preferences
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Preferred communication method and update frequency
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Timeline, milestone check-ins, and final submission deadline
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Portfolio
Multiple Linear Regression in R to Analyze Academic Performance Drivers in a U.S. Community College
Used R to model how factors such as study hours, part-time job hours, class size, and online access affect GPA. Helped a community college identify key predictors of student success for targeted academic support.
Regression Modeling in R to Predict Hospital Stay Duration Using Patient-Level Data
Performed multiple linear regression in R to estimate hospital stay duration based on admission source, age, diagnosis, and pre-existing conditions. Helped a U.S. medical center improve resource allocation and discharge planning.
Sales Performance Modeling in R: Multiple Linear Regression for Retail Store Forecasting
Built a multiple regression model in R to analyze how staff count, foot traffic, store size, and promotional spend drive weekly sales. Informed staffing and campaign strategy for a U.S. brick-and-mortar retail chain.
Process
Customer Reviews
5 reviews for this Gig ★★★★☆ 4.1
the final R script was fully annotated and reusable for my next analysis everything was clearly structured and easy to replicate
needed results fast for a consultancy report and he delivered full diagnostics, visualizations, and model interpretation in just two days great communication too
i liked how clearly the regression assumptions were tested and discussed he made it really easy to follow even for someone new to stats
he handled multicollinearity in my R model perfectly and even suggested better dummy coding techniques i hadn’t thought of
the regression model was well explained and the markdown report looked clean and professional exactly what i needed for my thesis submission
R Starter
Starts at $25
Build model, summarize output
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3
Days Delivery
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1
Revision
R Modeller
Starts at $65
Include dummies, test assumptions
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5
Days Delivery
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2
Revisions
R Insight Pro
Starts at $120
Advanced analysis and full report
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7
Days Delivery
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3
Revisions
