- Statistical Modeling
- Model Evaluation
- Correlation Analysis
- R Programming
- Data Analysis
- R (Software)
- Data Import/Export
- Descriptive Statistics
- Regression Analysis
- Statistical Analysis
- Biostatistics
- Exploratory Data Analysis
Linear Regression in R for Public Health
Completed by Fortune Uche Okafor
March 16, 2024
15 hours (approximately)
Fortune Uche Okafor's account is verified. Coursera certifies their successful completion of Linear Regression in R for Public Health
What you will learn
Describe when a linear regression model is appropriate to use
Read in and check a data set's variables using the software R prior to undertaking a model analysis
Fit a multiple linear regression model with interactions, check model assumptions and interpret the output
Skills you will gain
