- Correlation Analysis
- Data Import/Export
- Exploratory Data Analysis
- Statistical Modeling
- Model Evaluation
- R (Software)
- Biostatistics
- R Programming
- Regression Analysis
- Statistical Analysis
- Data Analysis
- Descriptive Statistics
Linear Regression in R for Public Health
Completed by Namita Kaushik
November 25, 2020
15 hours (approximately)
Namita Kaushik'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
