- Biostatistics
- Correlation Analysis
- Exploratory Data Analysis
- Data Analysis
- Descriptive Statistics
- Regression Analysis
- Probability & Statistics
- Statistical Modeling
- R (Software)
- Statistical Analysis
- Data Import/Export
- Statistical Methods
Linear Regression in R for Public Health
Completed by Benjamin Grenier
January 4, 2021
15 hours (approximately)
Benjamin Grenier'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
