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Getting Started with Linear Regression in R

Getting Started with Linear Regression in R Online

Curious about uncovering patterns in your data? Whether you're investigating how income relates to education or how age and location affect voting behaviour, linear regression helps quantify and interpret relationships between variables.

This hands-on, intermediate-level workshop introduces linear modeling in R, a powerful and open-source tool for statistical analysis. You’ll learn how to fit a linear model, interpret coefficients, assess model assumptions, and evaluate model performance using diagnostic plots like residuals.

By the end of this session, participants will be able to:

  • Fit a linear regression model using R

  • Interpret key output from a linear model

  • Check model assumptions and explore diagnostic plots

  • Apply linear modeling techniques to real-world data

This session is best suited for participants who have some prior experience using R and are ready to expand their skills into statistical modeling.

Details: Any preparatory work for the session can be found on its information page. This virtual workshop will be recorded and shared on the same page, and discoverable via the Sherman Centre's Online Learning Catalogue.

Facilitator Bio: Sahar is a PhD candidate in the Health Research Methodology program at McMaster University with a background in midwifery. She supports researchers in data analysis using statistical software such as R, SAS, and SPSS, research methodology, and evidence synthesis.

Date:
Thursday, October 9, 2025
Time:
4:00pm - 5:00pm
Time Zone:
Eastern Time - US & Canada (change)
Online:
This is an online event. Event URL will be sent via registration email.
Audience:
  Open (McMaster + Community)  
Categories:
  Returning     DASH     SCDS Sponsored Events     Workshops  

Registration is required. There are 100 seats available.

THE SHERMAN CENTRE FOR DIGITAL SCHOLARSHIP

The Sherman Centre for Digital Scholarship (SCDS), located in McMaster University Library, provides consulting, instruction, and technical support to faculty, staff, students, and community members for all aspects of digital scholarship — from teaching and training to research, dissemination, and beyond.

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CODE OF CONDUCT

The Sherman Centre and the McMaster University Library are committed to fostering a supportive and inclusive environment for its presenters and participants. As a participant in this session, you agree to support and help cultivate an experience that is collaborative, respectful, and inclusive, as well as free of harassment, discrimination, and oppression. We reserve the right to remove participants who exhibit harassing, malicious or persistently disruptive behaviour. Please refer to our code of conduct webpage for more information.

Event Organizer

Sahar Khademioore
Profile photo of The Sherman Centre for Digital Scholarship (SCDS)
The Sherman Centre for Digital Scholarship (SCDS)

The Sherman Centre for Digital Scholarship supports McMaster students, faculty, and staff, as well as anyone curious about digital scholarship. From research and teaching to training and technical support, we’re here to help bring digital projects to life at every stage!

Send us an Email 
View our Website 
Book a Consultation 
Subscribe to the SCDS Newsletter 

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