Linear Regression Using R Online
In this workshop, we will explore how to use R for conducting linear regression. We will cover how to fit a linear model, interpret coefficients, assess model assumptions, and evaluate the model's fit using diagnostic tools like residual plots.In this workshop, we will explore how to use R for conducting linear regression. We will cover how to fit a linear model, interpret coefficients, assess model assumptions, and evaluate the model's fit using diagnostic tools like residual plots.
Workshop Learning Outcomes: We will cover how to fit a linear model, interpret coefficients, assess model assumptions, and evaluate the model's fit using diagnostic tools like residual plots.In this workshop, we will explore how to use R for conducting linear regression. We will cover how to fit a linear model, interpret coefficients, assess model assumptions, and evaluate the model's fit using diagnostic tools like residual plots.
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 (including systematic reviews).
- Date:
- Thursday, January 16, 2025
- Time:
- 4:00pm - 5:30pm
- Time Zone:
- Eastern Time - US & Canada (change)
- Online:
- This is an online event. Event URL will be sent via registration email.
- Audience:
- Everyone
- Categories:
- DASH SCDS Sponsored Events Workshops
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.