Linear Regression in R with Biological Data

There will be two sessions, one at the venue for meeting while training will be next session at Statistical Laboratory of Statistics Department, The Federal Polytechnic Offa, to expose participants to the laboratory. From the venue to the laboratory is about 7 minutes drive.
In this session, we will explore the fundamentals of linear regression and its application in biological data analysis. Our expert speaker will demonstrate how to use R to perform linear regression, interpret results, and visualize data.

Sub-Topics:

1. Introduction to Linear Regression (5 minutes)

• Overview of linear regression and its importance in biological data analysis

2. Loading and Preparing Biological Data in R (5 minutes)

• Introduction to popular biological datasets and data formats
• Using R to load, clean, and prepare data for analysis

3. Performing Linear Regression in R (10 minutes)

• Using the lm() function to perform linear regression
• Interpreting coefficients, p-values, and R-squared

4. Visualizing Linear Regression Results (10 minutes)

• Using ggplot2 to create informative plots
• Visualizing regression lines, confidence intervals, and residuals

5. Q&A Session (5 minutes)