# Statistics IV: Correlation and Linear Regression (via Webinar)

#### Date & Time

Thursday, 03 December 2020
13:00 to 15:00

Online

#### Offered by

Graduate Pathways to Success and the Applied Statistics and Data Group

#### Registration Closed / Past Event

Understanding relationships is a key part of the scientific inquiry process.  You will learn how to describe relationships between two numerical quantities through correlation measures and simple linear regression models.  This will also be extended to multiple linear regression for including additional predictor variables.  Specific topics include:

• correlation vs causation
• interpretation of regression model coefficients
• assessing the “fit” of a model
• model selection

Check out the video below for a teaser from a previous session:

This is the 4th  workshop in a 6-part series focused on the foundations of statistics.

##### MORE ON THIS SERIES:

Statistics is a scientific discipline that enables reaching meaningful conclusions from data. In order to produce trustworthy results, one needs to be able to justify the choice of the statistical methods and models and to validate the underlying assumptions.

The aim of this webinar series is to give an overall review of the statistical concepts behind the various methods in statistical software using examples of various data structures.  Interpretations of the results obtained from different statistical tests and models will be discussed. Hence, the aim is not to solve specific project problems.

If you are a graduate student and have questions about your specific project please see (https://asda.stat.ubc.ca/sos/) on how to take advantage of a one-hour free statistical consultation. Each webinar has some self-contained content but some aspects will build on concepts taught in the previous sessions so there is a benefit in attending all the webinars.

The Applied Statistics and Data Science Group (ASDa; asda.stat.ubc.ca) in the UBC Department of Statistics provides assistance in the statistical formulation of research questions, the design of experiments and sampling plans for surveys, the choice and explanation of statistical methodology, statistical computing and graphics, statistical analysis, the interpretation of findings, and more. ASDa also plays a role in continuing education on and off the UBC campus, giving seminars and workshops on statistical concepts and methodology to various departments and research groups and at teaching hospitals.

#### facilitator

Nikolas Krstic is a Statistical Consultant with ASDa, completing both their BSc and MSc in Statistics at UBC. While pursuing his degrees, he has excelled in several different statistical consulting courses and has previously worked as a statistical analyst at the British Columbia Centre for Disease Control (BCCDC), authoring several published papers on a wide range of environmental health topics. Recently, he has collaborated with numerous clients on projects from a wide range of disciplines. During his studies, research and consulting work, he has developed a strong background in regression analysis, spatial statistics and statistical learning.

#### Registration Information

Registration opens on Monday, November 23rd at 9:00 am.

Priority will be given to UBC graduate students registered in the current academic session. After registering, you will receive confirmation and additional event details within 2 business days at the e-mail associated with your community.grad.ubc.ca account. If you experience any difficulty using the online registration tool, please e-mail us at graduate.pathways@ubc.ca.

NO-SHOW PENALTY: If you register and do not attend or cancel less than 24 hours prior, it may affect your eligibility to join future events. To avoid this no-show penalty, please cancel at least two business days in advance by e-mailing graduate.pathways@ubc.ca.

#### Accessibility

If you have a disability or medical condition that may affect your full participation in the event, please email graduate.pathways@ubc.ca, 604-827-4578, well in advance of the event.